Triple

T857394
Position Surface form Disambiguated ID Type / Status
Subject Hyderabad State E18521 entity
Predicate hadSubdivisions P747 FINISHED
Object Aurangabad division E33321 NE FINISHED

How this triple was built (3 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: Aurangabad division | Statement: [Hyderabad State, hadSubdivisions, Aurangabad division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aurangabad division
Context triple: [Hyderabad State, hadSubdivisions, Aurangabad division]
  • A. Aurangabad chosen
    Aurangabad is a historic city in the Indian state of Maharashtra, known for its rich cultural heritage and proximity to UNESCO World Heritage Sites like the Ajanta and Ellora Caves.
  • B. Wardha district
    Wardha district is an administrative region in the Indian state of Maharashtra, historically significant as a center of India’s independence movement and home to Mahatma Gandhi’s Sevagram Ashram.
  • C. Moradabad
    Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
  • D. Yamunanagar district
    Yamunanagar district is an administrative district in the northeastern part of the Indian state of Haryana, known for its industrial base and proximity to the Shivalik hills.
  • E. Aligarh
    Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadSubdivisions
Context triple: [Hyderabad State, hadSubdivisions, Aurangabad division]
  • A. hasSubdivision chosen
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • B. hasCivilDivision
    Indicates that one administrative or political entity is subdivided into, or is associated with, a specific civil division (such as a county, district, or municipality).
  • C. representsSubdivisionOf
    Indicates that one administrative or territorial unit is a smaller, constituent part of a larger administrative or territorial unit.
  • D. countrySubdivision
    Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
  • E. hasSubnationalCounterpart
    Indicates that an entity has a corresponding or equivalent entity at a lower (subnational) administrative level.
  • F. None of above.

Provenance (4 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac4d47508190b48d944aa2d881bf completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c1ee4481909d5713122e5ad856 completed March 4, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a4aa834a588190bca4a0eb83fb3eb6 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.