Triple

T4182490
Position Surface form Disambiguated ID Type / Status
Subject Jacques-Nicolas Billaud-Varenne E88224 entity
Predicate exileLocation P10493 FINISHED
Object Cayenne E161877 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: Cayenne | Statement: [Jacques-Nicolas Billaud-Varenne, exileLocation, Cayenne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cayenne
Context triple: [Jacques-Nicolas Billaud-Varenne, exileLocation, Cayenne]
  • A. Cayenne chosen
    Cayenne is the principal city and administrative center of French Guiana, located on the Atlantic coast in northeastern South America.
  • B. Naiche
    Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
  • C. Canela
    Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
  • D. Comerío
    Comerío is a mountainous municipality in central Puerto Rico known for its scenic landscapes, coffee cultivation, and traditional festivals.
  • E. San Vicente
    San Vicente is a coastal municipality in the Philippine province of Northern Samar known for its island communities and fishing-based local economy.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0305e2e88190a51f176f8534f1f9 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589fbcc5881908f245bb377082dcc completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:45 p.m.