Triple
T9071302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezirk Baden |
E217371
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alland
Alland is a small market town in Lower Austria known for its scenic location in the Vienna Woods and its role as a local recreational and residential community.
|
E776145
|
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: Alland | Statement: [Bezirk Baden, contains, Alland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alland Context triple: [Bezirk Baden, contains, Alland]
-
A.
Ölandet
Ölandet is one of the islands in the Pellinge archipelago off the southern coast of Finland, known for its coastal nature and traditional island scenery.
-
B.
Aland
Aland is a surname most notably associated with German biblical scholar Barbara Aland.
-
C.
Mykland
Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
-
D.
Lidingö
Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
-
E.
Zealand
Zealand is the largest and most populous island of Denmark, home to the capital city Copenhagen and a central hub of the country’s cultural and economic life.
- 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: Alland Triple: [Bezirk Baden, contains, Alland]
Generated description
Alland is a small market town in Lower Austria known for its scenic location in the Vienna Woods and its role as a local recreational and residential community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alland Target entity description: Alland is a small market town in Lower Austria known for its scenic location in the Vienna Woods and its role as a local recreational and residential community.
-
A.
Ölandet
Ölandet is one of the islands in the Pellinge archipelago off the southern coast of Finland, known for its coastal nature and traditional island scenery.
-
B.
Aland
Aland is a surname most notably associated with German biblical scholar Barbara Aland.
-
C.
Mykland
Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
-
D.
Lidingö
Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
-
E.
Zealand
Zealand is the largest and most populous island of Denmark, home to the capital city Copenhagen and a central hub of the country’s cultural and economic life.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ec5c0819089bb42448edf391e |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdf72e74819086f576a4b2532387 |
completed | April 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69d000d4a4548190939a9a9946be469b |
completed | April 3, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d001b245f08190a8e5c53c570b20a0 |
completed | April 3, 2026, 6:06 p.m. |
Created at: March 30, 2026, 7:12 p.m.