Triple

T2756904
Position Surface form Disambiguated ID Type / Status
Subject Jharkhand E61121 entity
Predicate containsSteelPlant P25392 FINISHED
Object Bokaro Steel City E295179 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: Bokaro Steel City | Statement: [Jharkhand, containsSteelPlant, Bokaro Steel City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokaro Steel City
Context triple: [Jharkhand, containsSteelPlant, Bokaro Steel City]
  • A. Bokaro Steel City chosen
    Bokaro Steel City is an industrial city in eastern India known for its large integrated steel plant and planned urban layout.
  • B. Bhilai
    Bhilai is an industrial city in central India best known for its large steel plant and planned urban infrastructure.
  • C. Korba
    Korba is an industrial city in the Indian state of Chhattisgarh, known primarily for its coal mining and power generation industries.
  • D. Durgapur
    Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
  • E. Jamshedpur industrial region
    Jamshedpur industrial region is a major steel and engineering hub in eastern India, centered around the city of Jamshedpur and dominated by large-scale industries such as Tata Steel.
  • 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: containsSteelPlant
Context triple: [Jharkhand, containsSteelPlant, Bokaro Steel City]
  • A. hasIndustrialPlant chosen
    Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
  • B. receivesIronOreFrom
    Indicates that one entity obtains or is supplied with iron ore from another entity.
  • C. hasRefinery
    Indicates that one entity possesses, operates, or is associated with a refinery facility used for processing raw materials.
  • D. typicalValueForSteel
    Indicates that a given value represents a standard or commonly expected value associated with steel under typical conditions.
  • E. hasPlantSymbol
    Indicates that an entity is associated with or represented by a particular plant as its symbolic emblem or sign.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb8a292c8190ab3982434805241a completed March 7, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc040c5f08190898e81938afe6884 completed March 10, 2026, 6:54 a.m.
PD Predicate disambiguation batch_69abd82d005c81908a1ac7a1313c6d88 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.