Triple

T11616571
Position Surface form Disambiguated ID Type / Status
Subject Florac E275523 entity
Predicate nearestLargeTown P1982 FINISHED
Object Mende E86560 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: Mende | Statement: [Florac, nearestLargeTown, Mende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mende
Context triple: [Florac, nearestLargeTown, Mende]
  • A. Mende
    The Mende are one of the largest ethnic groups in Sierra Leone, known for their rich traditions, secret societies, and significant influence on the country’s culture and politics.
  • B. Mende
    Mende was an ancient Greek city-state located on the Pallene peninsula of Chalcidice, known in antiquity for its wine and maritime trade.
  • C. Mende chosen
    Mende is a small historic town in southern France that serves as the prefecture of the Lozère department in the Occitanie region.
  • D. Ruthena
    Ruthena is a historical name for the French city of Rodez, reflecting its origins as an ancient settlement in the Rouergue region.
  • E. Zemst
    Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a04675e08190837a3717242fd0f9 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84924a0819084c43aeb7c57ac10 completed April 22, 2026, 10:51 a.m.
Created at: April 8, 2026, 9:38 p.m.