Triple

T2175461
Position Surface form Disambiguated ID Type / Status
Subject Drôme E48515 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. Tarascon
    Tarascon is a historic town in southern France, known for its medieval castle and Provençal heritage along the lower Rhône Valley.
  • D. 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.
  • E. Auxerre
    Auxerre is a historic city in the Burgundy region of central France, known for its medieval architecture, Gothic cathedral, and role as a regional cultural and economic center.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbece30888190936853740ff6cb02 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d9eff988190a02734bd73616cba completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.