Triple

T14293931
Position Surface form Disambiguated ID Type / Status
Subject Nagole E354388 entity
Predicate nearestMajorCityCentre P1982 FINISHED
Object Hyderabad city centre E13440 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: Hyderabad city centre | Statement: [Nagole, nearestMajorCityCentre, Hyderabad city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyderabad city centre
Context triple: [Nagole, nearestMajorCityCentre, Hyderabad city centre]
  • A. Hyderabad chosen
    Hyderabad is a major city in southern India known for its historic Charminar monument, rich Hyderabadi cuisine, and growing technology industry.
  • B. 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.
  • C. Hafeezpet
    Hafeezpet is a residential and commercial suburb in the western part of Hyderabad, Telangana, known for its proximity to major IT hubs and growing urban infrastructure.
  • D. Hyderabad centre
    Hyderabad centre is a regional campus of Kendriya Hindi Sansthan dedicated to promoting and teaching Hindi language and literature in the Hyderabad region.
  • E. Hyderabad IT corridor
    The Hyderabad IT corridor is a major technology and business district in Hyderabad, India, known for its concentration of IT parks, multinational companies, and modern infrastructure.
  • 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: nearestMajorCityCentre
Context triple: [Nagole, nearestMajorCityCentre, Hyderabad city centre]
  • A. nearestMajorCity chosen
    Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
  • B. administrativeCentreNearby
    Indicates that an administrative centre is located close to the referenced entity in geographic or spatial terms.
  • C. nearestCityCenterDistance
    Indicates the distance from a given location to the closest city center.
  • D. nearestMajorCenter
    Indicates that one location is the closest significant urban or population center relative to another location.
  • E. nearestTownCenter
    Indicates that one location is the closest town center to another specified point or area.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de7179368081908117a9ccfbf94fd4 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2281d481909714f8d8cfe71514 completed May 8, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69de2a8f81f08190af737e1654847aa6 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:11 a.m.