Triple

T1437812
Position Surface form Disambiguated ID Type / Status
Subject Hyderabad, Sindh E30596 entity
Predicate largestCityOf P163 FINISHED
Object Hyderabad District E119141 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 District | Statement: [Hyderabad, Sindh, largestCityOf, Hyderabad District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyderabad District
Context triple: [Hyderabad, Sindh, largestCityOf, Hyderabad District]
  • A. Hyderabad Division
    Hyderabad Division is an administrative division in the Sindh province of Pakistan that encompasses the city of Hyderabad and surrounding districts.
  • B. Hyderabad
    Hyderabad is a major city in southern India known for its historic Charminar monument, rich Hyderabadi cuisine, and growing technology industry.
  • C. Hyderabad chosen
    Hyderabad is a major city in the Sindh province of Pakistan, known for its historical significance, vibrant culture, and role as an important commercial and industrial center.
  • D. Hyderabad State
    Hyderabad State was a large princely state in south-central India, ruled by the Nizams under British suzerainty until its integration into the Indian Union in 1948.
  • E. Kakinada
    Kakinada is a coastal city in the Indian state of Andhra Pradesh, known for its port, seafood industry, and role as a regional commercial hub.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5059ef88190af20e796acdb2058 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad159e53e88190a566347150e9b4bc completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8 p.m.