Triple

T14732874
Position Surface form Disambiguated ID Type / Status
Subject M-9 Motorway E346120 entity
Predicate regionServed P82 FINISHED
Object Hyderabad Division E167072 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: Hyderabad Division | Statement: [M-9 Motorway, regionServed, Hyderabad Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyderabad Division
Context triple: [M-9 Motorway, regionServed, Hyderabad Division]
  • A. Hyderabad Division chosen
    Hyderabad Division is an administrative division in the Sindh province of Pakistan that encompasses the city of Hyderabad and surrounding districts.
  • B. Aurangabad division
    Aurangabad division is an administrative division in the state of Maharashtra, India, comprising several districts in the Marathwada region.
  • C. Aligarh division
    Aligarh division is an administrative division in the Indian state of Uttar Pradesh, centered on the city of Aligarh and comprising several surrounding districts.
  • D. Hyderabad district
    Hyderabad district is an administrative district in the Indian state of Telangana that encompasses the historic city of Hyderabad, a major cultural and economic center.
  • E. Poona Division
    Poona Division was a British Indian Army infantry division that served notably during World War I, including in the Mesopotamian campaign.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce3d1d88190951e88bef88db500 completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:29 a.m.