Triple
T12792228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Romans-sur-Isère |
E305795
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Jaillans
Jaillans is a small commune in southeastern France’s Drôme department, situated within the administrative area of Romans-sur-Isère.
|
E1003104
|
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: Jaillans | Statement: [canton of Romans-sur-Isère, contains, Jaillans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaillans Context triple: [canton of Romans-sur-Isère, contains, Jaillans]
-
A.
Jasseines
Jasseines is a small commune in the Aube department of north-central France, situated within the canton of Brienne-le-Château.
-
B.
Jodoigne
Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
-
C.
Joncreuil
Joncreuil is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
D.
Tabarre
Tabarre is a commune in the Port-au-Prince metropolitan area of Haiti, known for hosting the main international airport and various government and international offices.
-
E.
Chevaleret
Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
- 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: Jaillans Triple: [canton of Romans-sur-Isère, contains, Jaillans]
Generated description
Jaillans is a small commune in southeastern France’s Drôme department, situated within the administrative area of Romans-sur-Isère.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jaillans Target entity description: Jaillans is a small commune in southeastern France’s Drôme department, situated within the administrative area of Romans-sur-Isère.
-
A.
Jasseines
Jasseines is a small commune in the Aube department of north-central France, situated within the canton of Brienne-le-Château.
-
B.
Jodoigne
Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
-
C.
Joncreuil
Joncreuil is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
D.
Tabarre
Tabarre is a commune in the Port-au-Prince metropolitan area of Haiti, known for hosting the main international airport and various government and international offices.
-
E.
Chevaleret
Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
- 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.