Triple

T326426
Position Surface form Disambiguated ID Type / Status
Subject Thomas Pitt E6528 entity
Predicate governed P760 FINISHED
Object Madras E12324 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: Madras | Statement: [Thomas Pitt, governed, Madras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madras
Context triple: [Thomas Pitt, governed, Madras]
  • A. Vellore
    Vellore is a residential neighbourhood in the city of Vaughan, Ontario, known for its suburban housing, schools, and community amenities.
  • B. Chennai chosen
    Chennai is a major coastal metropolis in southern India, serving as the capital of Tamil Nadu and a key cultural, economic, and automotive hub.
  • C. Madurai
    Madurai is a historic city in the southern Indian state of Tamil Nadu, renowned for its ancient Meenakshi Amman Temple and long-standing role as a major cultural and commercial center.
  • D. Vizagapatam
    Vizagapatam, now commonly known as Visakhapatnam, is a major coastal city and port on the Bay of Bengal in present-day Andhra Pradesh, India.
  • E. Cochin
    Cochin is a large, heavily feathered chicken breed known for its gentle temperament and ornamental appearance.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea974d8481908c7d84f72a7728b6 completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4429d10d88190ac5407bf4e539d4f completed March 1, 2026, 1:43 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.