Triple

T16240585
Position Surface form Disambiguated ID Type / Status
Subject University of Limoges E394232 entity
Predicate hasCampus P116 FINISHED
Object Brive-la-Gaillarde E50060 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: Brive-la-Gaillarde | Statement: [University of Limoges, hasCampus, Brive-la-Gaillarde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brive-la-Gaillarde
Context triple: [University of Limoges, hasCampus, Brive-la-Gaillarde]
  • A. Brive-la-Gaillarde chosen
    Brive-la-Gaillarde is a historic town in the Corrèze department of south-central France, known for its medieval architecture, vibrant market culture, and role as a regional economic center.
  • B. Clermont-Ferrand
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • C. La Rochelle
    La Rochelle is a historic French Atlantic port city that became a major stronghold and refuge for Huguenots during the French Wars of Religion.
  • D. Niort
    Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
  • E. Toulon
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455e1ce08190b97e2ab3e8c6d535 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edd1ed08190aa0211c3b17a918e completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.