Triple
T12706882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eppendorf (medical) campus |
E303610
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object |
Eppendorf
Eppendorf is a district in Hamburg, Germany, known for its affluent residential areas, historic architecture, and prominent medical and university facilities.
|
E998592
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Eppendorf | Statement: [Eppendorf (medical) campus, district, Eppendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eppendorf Context triple: [Eppendorf (medical) campus, district, Eppendorf]
-
A.
Beckman Instruments
Beckman Instruments was an American scientific instruments company known for pioneering analytical and laboratory equipment used in chemistry, biology, and electronics research.
-
B.
Beckman Coulter
Beckman Coulter is a biomedical laboratory instrument and diagnostics company known for its analytical systems used in clinical and research settings worldwide.
-
C.
Thermo Electron
Thermo Electron was a major American scientific instruments and laboratory equipment company that became a core predecessor to the modern Thermo Fisher Scientific corporation.
-
D.
Phenomenex
Phenomenex is a chromatography consumables and separation science company known for providing columns, sample preparation products, and related technologies for analytical and laboratory applications.
-
E.
Leica Biosystems
Leica Biosystems is a global company specializing in cancer diagnostics and laboratory workflow solutions, particularly known for its histology and pathology instruments and reagents.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eppendorf Triple: [Eppendorf (medical) campus, district, Eppendorf]
Generated description
Eppendorf is a district in Hamburg, Germany, known for its affluent residential areas, historic architecture, and prominent medical and university facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eppendorf Target entity description: Eppendorf is a district in Hamburg, Germany, known for its affluent residential areas, historic architecture, and prominent medical and university facilities.
-
A.
Beckman Instruments
Beckman Instruments was an American scientific instruments company known for pioneering analytical and laboratory equipment used in chemistry, biology, and electronics research.
-
B.
Beckman Coulter
Beckman Coulter is a biomedical laboratory instrument and diagnostics company known for its analytical systems used in clinical and research settings worldwide.
-
C.
Thermo Electron
Thermo Electron was a major American scientific instruments and laboratory equipment company that became a core predecessor to the modern Thermo Fisher Scientific corporation.
-
D.
Phenomenex
Phenomenex is a chromatography consumables and separation science company known for providing columns, sample preparation products, and related technologies for analytical and laboratory applications.
-
E.
Leica Biosystems
Leica Biosystems is a global company specializing in cancer diagnostics and laboratory workflow solutions, particularly known for its histology and pathology instruments and reagents.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620663e881908d367170ed6d2c81 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b648f48190a29924c484713fc7 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6738fb13881909be53b9bd9960944 |
completed | May 2, 2026, 9:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f677cabbb48190b5a097af0237595c |
completed | May 2, 2026, 10:16 p.m. |
Created at: April 9, 2026, 5:23 p.m.