Triple

T14258991
Position Surface form Disambiguated ID Type / Status
Subject Gandipet Lake E353460 entity
Predicate cityServed P82 FINISHED
Object Secunderabad 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 | Statement: [Gandipet Lake, cityServed, Secunderabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Secunderabad
Context triple: [Gandipet Lake, cityServed, Secunderabad]
  • 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. Hyderabad
    Hyderabad is a major city in southern India known for its historic Charminar monument, rich Hyderabadi cuisine, and growing technology industry.
  • C. 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.
  • D. Vijayawada
    Vijayawada is a major commercial and cultural city in the Indian state of Andhra Pradesh, known as a key transportation hub and an important center for trade, education, and politics in the region.
  • E. Hyderabad Metropolitan Region
    The Hyderabad Metropolitan Region is a large urban agglomeration in and around Hyderabad, India, encompassing major residential, commercial, and technology hubs under a unified metropolitan planning and governance framework.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd1bb1c48190b5d2b4167c756abf completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 1:09 a.m.