Triple

T1486608
Position Surface form Disambiguated ID Type / Status
Subject Karnataka E29477 entity
Predicate hasMajorCityRole P29185 FINISHED
Object Bengaluru as the Silicon Valley of India LITERAL 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: Bengaluru as the Silicon Valley of India | Statement: [Karnataka, hasMajorCityRole, Bengaluru as the Silicon Valley of India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMajorCityRole
Context triple: [Karnataka, hasMajorCityRole, Bengaluru as the Silicon Valley of India]
  • A. hasMajorCity
    Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
  • B. hasCityRole
    Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
  • C. isMajorCityIn
    Indicates that a city is a primary or significant urban center located within a specified larger region or country.
  • D. isMajorCenterOf
    Indicates that a place serves as a primary hub or focal point for a particular activity, function, or domain.
  • E. servesAsFocusCityFor
    Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
  • F. None of above. chosen

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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a3325881909bbc55efc04ad60f completed March 1, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69a4c486eacc81909c272f9bdf50a7c3 completed March 1, 2026, 10:58 p.m.
PDg Predicate description generation batch_69a4c52bbb748190aaa804438d31f4c2 completed March 1, 2026, 11 p.m.
Created at: March 1, 2026, 8:12 p.m.