Triple

T6809727
Position Surface form Disambiguated ID Type / Status
Subject Western Maharashtra E156598 entity
Predicate hasNotableCityForSugarIndustry P14082 FINISHED
Object Kolhapur E128960 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: Kolhapur | Statement: [Western Maharashtra, hasNotableCityForSugarIndustry, Kolhapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolhapur
Context triple: [Western Maharashtra, hasNotableCityForSugarIndustry, Kolhapur]
  • A. Kolhapur chosen
    Kolhapur is a historic city in the Indian state of Maharashtra, known for its rich Maratha heritage, temples, and distinctive Kolhapuri cuisine and leather sandals.
  • B. Sangli
    Sangli is a city in the Indian state of Maharashtra known for its fertile agricultural surroundings and prominence in sugar and turmeric production.
  • C. Latur
    Latur is a city in the Marathwada region of western India known for its agricultural economy and for being the epicenter of a devastating earthquake in 1993.
  • D. Gondia
    Gondia is a district in the Indian state of Maharashtra, known for its rice production and proximity to forests and wildlife reserves.
  • E. Nanded
    Nanded is a historic city in the Indian state of Maharashtra, known as an important Sikh pilgrimage center and a major urban hub in the Marathwada region.
  • 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: hasNotableCityForSugarIndustry
Context triple: [Western Maharashtra, hasNotableCityForSugarIndustry, Kolhapur]
  • A. hasSugarMills
    Indicates that one entity possesses, contains, or is associated with one or more sugar mills.
  • B. hasNotableTown chosen
    Indicates that an entity includes or is associated with a town that is considered notable or significant in some way.
  • C. hasSmallTownIndustry
    Indicates that a small town possesses or supports a particular type of industry or industrial activity.
  • D. hasNotableCompanyHeadquarters
    Indicates that a company’s headquarters is recognized as notable or significant in some way.
  • E. hasNotablePortTown
    Indicates that an entity possesses or is associated with a town known for its significant or prominent port.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30c741881909e220b05aa564bc2 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7881214488190914a3ee08fce359e completed March 28, 2026, 7:49 a.m.
PD Predicate disambiguation batch_69c6d09bb4f881909bf20c188cb3e8e1 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:16 p.m.