Triple
T9641630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fürstenfeldbruck district |
E233084
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alling
Alling is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
|
E811216
|
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: Alling | Statement: [Fürstenfeldbruck district, contains, Alling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alling Context triple: [Fürstenfeldbruck district, contains, Alling]
-
A.
Lundie
Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
-
B.
Allén
Allén is a Swedish surname most notably borne by linguist and former permanent secretary of the Swedish Academy, Sture Allén.
-
C.
Norriss
Norriss is a variant spelling of the surname Norris, which is of English origin and historically associated with the meaning "northerner" or "from the north."
-
D.
Overhalla
Overhalla is a rural municipality in Trøndelag county, Norway, known for its agriculture, forestry, and proximity to the town of Namsos.
-
E.
Terling
Terling is a small rural village and civil parish in the county of Essex in eastern England, known for its historic buildings and countryside setting.
- 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: Alling Triple: [Fürstenfeldbruck district, contains, Alling]
Generated description
Alling is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alling Target entity description: Alling is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
-
A.
Lundie
Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
-
B.
Allén
Allén is a Swedish surname most notably borne by linguist and former permanent secretary of the Swedish Academy, Sture Allén.
-
C.
Norriss
Norriss is a variant spelling of the surname Norris, which is of English origin and historically associated with the meaning "northerner" or "from the north."
-
D.
Overhalla
Overhalla is a rural municipality in Trøndelag county, Norway, known for its agriculture, forestry, and proximity to the town of Namsos.
-
E.
Terling
Terling is a small rural village and civil parish in the county of Essex in eastern England, known for its historic buildings and countryside setting.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b566a2881909ab3f9502b1c3c8d |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1824e68a0819089c8e6e414575c5f |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d182fe6854819097b6fe60926c2a48 |
completed | April 4, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1835c916081908e3e1bb1e5499424 |
completed | April 4, 2026, 9:32 p.m. |
Created at: March 30, 2026, 8:12 p.m.