Triple
T12792231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Romans-sur-Isère |
E305795
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Barbières
Barbières is a small commune in the Drôme department in southeastern France, situated within the administrative area of Romans-sur-Isère.
|
E1003107
|
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: Barbières | Statement: [canton of Romans-sur-Isère, contains, Barbières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbières Context triple: [canton of Romans-sur-Isère, contains, Barbières]
-
A.
Boucicaut
Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
-
B.
Bezannes
Bezannes is a commune in northeastern France near Reims, known for hosting the Champagne-Ardenne TGV high-speed railway station.
-
C.
Menetou-Salon
Menetou-Salon is a French wine appellation in the Loire Valley renowned for its crisp, aromatic white wines primarily made from Sauvignon Blanc.
-
D.
Baulmes
Baulmes is a Swiss village and municipality in the canton of Vaud, situated near the Jura Mountains and known for its scenic rural landscape.
-
E.
Baraut
Baraut is a prominent town in Uttar Pradesh, India, known as a key commercial and administrative center in the Baghpat district.
- 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: Barbières Triple: [canton of Romans-sur-Isère, contains, Barbières]
Generated description
Barbières is a small commune in the Drôme department in southeastern France, situated within the administrative area of Romans-sur-Isère.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbières Target entity description: Barbières is a small commune in the Drôme department in southeastern France, situated within the administrative area of Romans-sur-Isère.
-
A.
Boucicaut
Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
-
B.
Bezannes
Bezannes is a commune in northeastern France near Reims, known for hosting the Champagne-Ardenne TGV high-speed railway station.
-
C.
Menetou-Salon
Menetou-Salon is a French wine appellation in the Loire Valley renowned for its crisp, aromatic white wines primarily made from Sauvignon Blanc.
-
D.
Baulmes
Baulmes is a Swiss village and municipality in the canton of Vaud, situated near the Jura Mountains and known for its scenic rural landscape.
-
E.
Baraut
Baraut is a prominent town in Uttar Pradesh, India, known as a key commercial and administrative center in the Baghpat district.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850ac1808190a9b547d934252d10 |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f689733f748190bca592ab30b4437c |
completed | May 2, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68a4cb2c4819083def0a43452470f |
completed | May 2, 2026, 11:35 p.m. |
Created at: April 9, 2026, 5:30 p.m.