Triple

T16125462
Position Surface form Disambiguated ID Type / Status
Subject Palampuri Kangri E391257 entity
Predicate spokenIn P2266 FINISHED
Object Palampur E470664 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: Palampur | Statement: [Palampuri Kangri, spokenIn, Palampur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palampur
Context triple: [Palampuri Kangri, spokenIn, Palampur]
  • A. Palampur chosen
    Palampur is a scenic hill town in the Indian state of Himachal Pradesh, known for its tea gardens and views of the Dhauladhar mountain range.
  • B. Vikrampur
    Vikrampur was a historic urban and political center in the Bengal region, renowned as an important seat of power and culture in medieval South Asia.
  • C. Padampur
    Padampur is a town in the Ganganagar district of Rajasthan, India, known for its agricultural economy supported by canal irrigation in the arid northwestern region of the state.
  • D. Ganga Gram
    Ganga Gram is a rural development initiative focused on transforming villages along the Ganges into model, environmentally sustainable communities.
  • E. Benipatti
    Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2abf9b08190a375abc842a0e7d0 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.