Triple

T11181509
Position Surface form Disambiguated ID Type / Status
Subject Siege of Arcot (1780) E264549 entity
Predicate location P40 FINISHED
Object Arcot E68475 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: Arcot | Statement: [Siege of Arcot (1780), location, Arcot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcot
Context triple: [Siege of Arcot (1780), location, Arcot]
  • A. Arcot chosen
    Arcot is a historic town in the Indian state of Tamil Nadu that served as an important political and military center, especially under the Nawabs of the Carnatic during the 18th century.
  • B. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • C. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • D. Anadia
    Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
  • E. Toland
    Toland is a surname most notably associated with Gregg Toland, the pioneering American cinematographer renowned for his innovative deep-focus techniques in films like "Citizen Kane."
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a7f35481909f35feb94ef10e80 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483affa988190bb7dc4f74d8e878c completed April 19, 2026, 7:26 a.m.
Created at: April 8, 2026, 9:29 p.m.