Triple
T3134063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drôme |
E65484
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Romans-sur-Isère |
E56858
|
NE FINISHED |
How this triple was built (2 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: Romans-sur-Isère | Statement: [Drôme, contains, Romans-sur-Isère]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romans-sur-Isère Context triple: [Drôme, contains, Romans-sur-Isère]
-
A.
Romans-sur-Isère
chosen
Romans-sur-Isère is a commune in southeastern France known historically for its shoe-making industry and its location on the banks of the Isère River.
-
B.
Vaison-la-Romaine
Vaison-la-Romaine is a historic town in southeastern France renowned for its extensive Roman archaeological sites and medieval architecture.
-
C.
Bourgoin-Jallieu
Bourgoin-Jallieu is a commune in southeastern France known as an important commercial and transport hub in the Isère department, northeast of Lyon.
-
D.
Tarascon
Tarascon is a historic town in southern France, known for its medieval castle and Provençal heritage along the lower Rhône Valley.
-
E.
Saint-Cyriens
Saint-Cyriens are the officer cadets and alumni of France’s prestigious École spéciale militaire de Saint-Cyr, renowned as the country’s foremost military academy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada562540081908627950dd0b56a1e |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f84d8288190b1f48fa0f5c10773 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:05 p.m.