Triple

T10760560
Position Surface form Disambiguated ID Type / Status
Subject Muhammad Ali Khan Wallajah E253813 entity
Predicate capital P234 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: [Muhammad Ali Khan Wallajah, capital, Arcot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcot
Context triple: [Muhammad Ali Khan Wallajah, capital, 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a14c7481909c6f4f9b15dc130f completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55bb98ec8190914031643c1c7a97 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:16 p.m.