Triple
T12025855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rade de Brest |
E286275
|
entity |
| Predicate | adjacentCommune |
P28600
|
FINISHED |
| Object |
Hanvec
Hanvec is a small commune in the Finistère department of Brittany in northwestern France, known for its rural landscapes and proximity to the Rade de Brest.
|
E959773
|
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: Hanvec | Statement: [Rade de Brest, adjacentCommune, Hanvec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanvec Context triple: [Rade de Brest, adjacentCommune, Hanvec]
-
A.
HVN
HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
-
B.
HVN
HVN is the IATA airport code for Tweed New Haven Airport, a regional airport serving New Haven, Connecticut.
-
C.
Hven
Hven is a small Danish island in the Øresund Strait, historically renowned as the site of astronomer Tycho Brahe’s pioneering observatories and research center.
-
D.
Hwaci
Hwaci is the small American software company best known for creating and maintaining the SQLite relational database engine.
-
E.
Vacone
Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
- 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: Hanvec Triple: [Rade de Brest, adjacentCommune, Hanvec]
Generated description
Hanvec is a small commune in the Finistère department of Brittany in northwestern France, known for its rural landscapes and proximity to the Rade de Brest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanvec Target entity description: Hanvec is a small commune in the Finistère department of Brittany in northwestern France, known for its rural landscapes and proximity to the Rade de Brest.
-
A.
HVN
HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
-
B.
HVN
HVN is the IATA airport code for Tweed New Haven Airport, a regional airport serving New Haven, Connecticut.
-
C.
Hven
Hven is a small Danish island in the Øresund Strait, historically renowned as the site of astronomer Tycho Brahe’s pioneering observatories and research center.
-
D.
Hwaci
Hwaci is the small American software company best known for creating and maintaining the SQLite relational database engine.
-
E.
Vacone
Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f02638819091e0cc0e93fa5ea7 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b8111b88190a42a8904a2d26862 |
completed | May 1, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69f48fc7a8848190a06b34cc45db4789 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495f069c48190a6e5856c272420c0 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:47 p.m.