Triple
T22870332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordeaux |
E567173
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Bordelaise
Bordelaise is the French term for a female inhabitant or native of the city of Bordeaux in southwestern France.
|
E1558280
|
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: Bordelaise | Statement: [Bordeaux, hasDemonym, Bordelaise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bordelaise Context triple: [Bordeaux, hasDemonym, Bordelaise]
-
A.
Brengues
Brengues is a small rural village in southwestern France, known for its scenic limestone cliffs and location in the Célé Valley.
-
B.
Vichyssois
Vichyssois is the French demonym for inhabitants of the spa town of Vichy in the Allier department of central France.
-
C.
Pot-Bouille
Pot-Bouille is a naturalist novel by Émile Zola that exposes the hypocrisy and moral corruption of bourgeois life in a Parisian apartment building.
-
D.
Boudin
Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
-
E.
Mellois
Mellois is the French demonym referring to inhabitants of the town of Melle in the Deux-Sèvres department of western France.
- 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: Bordelaise Triple: [Bordeaux, hasDemonym, Bordelaise]
Generated description
Bordelaise is the French term for a female inhabitant or native of the city of Bordeaux in southwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bordelaise Target entity description: Bordelaise is the French term for a female inhabitant or native of the city of Bordeaux in southwestern France.
-
A.
Brengues
Brengues is a small rural village in southwestern France, known for its scenic limestone cliffs and location in the Célé Valley.
-
B.
Vichyssois
Vichyssois is the French demonym for inhabitants of the spa town of Vichy in the Allier department of central France.
-
C.
Pot-Bouille
Pot-Bouille is a naturalist novel by Émile Zola that exposes the hypocrisy and moral corruption of bourgeois life in a Parisian apartment building.
-
D.
Boudin
Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
-
E.
Mellois
Mellois is the French demonym referring to inhabitants of the town of Melle in the Deux-Sèvres department of western France.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f04b06481909004818ec8fc5a26 |
completed | April 29, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae951ee481908df74b483a845ac7 |
completed | May 19, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0baf655a748190a941e63e1d862508 |
completed | May 19, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bafed7b6c8190bd294a009dd9594d |
completed | May 19, 2026, 12:33 a.m. |
Created at: April 17, 2026, 3:38 p.m.