Triple
T12792218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Romans-sur-Isère |
E305795
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Crépol
Crépol is a small commune in southeastern France’s Drôme department, known for its rural character within the Auvergne-Rhône-Alpes region.
|
E1003097
|
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: Crépol | Statement: [canton of Romans-sur-Isère, contains, Crépol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crépol Context triple: [canton of Romans-sur-Isère, contains, Crépol]
-
A.
Butre
Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
-
B.
Hoschedé
Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
-
C.
Casteau
Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
-
D.
Thieux
Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
E.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
- 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: Crépol Triple: [canton of Romans-sur-Isère, contains, Crépol]
Generated description
Crépol is a small commune in southeastern France’s Drôme department, known for its rural character within the Auvergne-Rhône-Alpes region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crépol Target entity description: Crépol is a small commune in southeastern France’s Drôme department, known for its rural character within the Auvergne-Rhône-Alpes region.
-
A.
Butre
Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
-
B.
Hoschedé
Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
-
C.
Casteau
Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
-
D.
Thieux
Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
E.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
- 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.