Triple

T16687756
Position Surface form Disambiguated ID Type / Status
Subject Secunderabad E405509 entity
Predicate hasCantonment P4962 FINISHED
Object Secunderabad Cantonment E405509 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: Secunderabad Cantonment | Statement: [Secunderabad, hasCantonment, Secunderabad Cantonment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Secunderabad Cantonment
Context triple: [Secunderabad, hasCantonment, Secunderabad Cantonment]
  • A. Secunderabad chosen
    Secunderabad is a major twin city of Hyderabad in the Indian state of Telangana, known as an important commercial and transportation hub with a significant military presence.
  • B. Dilsukhnagar
    Dilsukhnagar is a major commercial and residential hub in Hyderabad, India, known for its bustling markets, educational institutions, and busy transport connections.
  • C. Hyderabad
    Hyderabad is a major city in southern India known for its historic Charminar monument, rich Hyderabadi cuisine, and growing technology industry.
  • D. Hyderabad
    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.
  • E. Nampally
    Nampally is a central neighborhood in Hyderabad, India, known for its major railway station, commercial activity, and proximity to key administrative and cultural landmarks.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea75df481909a7ebb9b2a9d0afd completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b27dcef481909ccfe4d3d604b1de completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:19 a.m.