Triple

T10618399
Position Surface form Disambiguated ID Type / Status
Subject Phusro E295181 entity
Predicate near P350 FINISHED
Object Bokaro Steel City E295179 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: Bokaro Steel City | Statement: [Phusro, near, Bokaro Steel City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokaro Steel City
Context triple: [Phusro, near, 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. Jamshedpur
    Jamshedpur is a major industrial city in eastern India, best known as the home of Tata Steel and one of the country’s earliest planned company towns.
  • C. Dhanbad
    Dhanbad is a major industrial city in eastern India, widely known as the "Coal Capital of India" for its extensive coal mining operations.
  • D. Bhilai
    Bhilai is an industrial city in central India best known for its large steel plant and planned urban infrastructure.
  • E. Jehanabad
    Jehanabad is a town and administrative district headquarters in the eastern Indian state of Bihar, known for its agricultural economy and proximity to the state capital, Patna.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6ee1848190a7d5fcd40b06cfe3 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b86a5bc8190863034cc91fdbbb9 completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 8:19 p.m.