Triple

T7542564
Position Surface form Disambiguated ID Type / Status
Subject Dharmapala E178314 entity
Predicate capital P234 FINISHED
Object Monghyr E190832 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: Monghyr | Statement: [Dharmapala, capital, Monghyr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monghyr
Context triple: [Dharmapala, capital, Monghyr]
  • A. Monghyr chosen
    Monghyr (now usually spelled Munger) is a historic city in the Indian state of Bihar, known for its strategic location on the Ganges and its significance in various ancient and medieval Indian kingdoms.
  • B. Samalkha
    Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
  • C. Monyash
    Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
  • D. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • E. Yakhin
    Yakhin is a variant form of the biblical name Jachin, traditionally associated with one of the two pillars of Solomon’s Temple.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8762b048190a0b262f9cb3fe1b0 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8614c958081908021a0341dc29725 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:48 p.m.