Triple

T10786458
Position Surface form Disambiguated ID Type / Status
Subject Tirhut division E254462 entity
Predicate majorCity P316 FINISHED
Object Samastipur E311154 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: Samastipur | Statement: [Tirhut division, majorCity, Samastipur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samastipur
Context triple: [Tirhut division, majorCity, Samastipur]
  • A. Samastipur chosen
    Samastipur is a city in the Indian state of Bihar known as an important railway junction and agricultural trade center in the region.
  • B. Saharsa
    Saharsa is a city in the northeastern Indian state of Bihar, known as a major agricultural and commercial center in the Kosi river region.
  • C. Neemuch
    Neemuch is a town in northwestern Madhya Pradesh, India, known as an important agricultural and trading center and for hosting a significant military cantonment.
  • D. Hajipur
    Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
  • E. Bhagalpur
    Bhagalpur is a historic city in the eastern Indian state of Bihar, known for its silk industry and location along the Ganges River.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d5422481908d7ab833c6cbc879 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbce653481909b201a2d5871e129 completed April 19, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:17 p.m.