Triple

T2822366
Position Surface form Disambiguated ID Type / Status
Subject Kaghan Valley E54839 entity
Predicate locatedIn P40 FINISHED
Object Mansehra District E53257 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: Mansehra District | Statement: [Kaghan Valley, locatedIn, Mansehra District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mansehra District
Context triple: [Kaghan Valley, locatedIn, Mansehra District]
  • A. Mansehra chosen
    Mansehra is a major city in northern Pakistan known as a gateway to the Kaghan Valley and the Karakoram Highway.
  • B. Jhelum District
    Jhelum District is an administrative region in Pakistan’s Punjab province, known for its Potohari-speaking population and significant contributions to the country’s military forces.
  • C. Ambala district
    Ambala district is an administrative district in the northern Indian state of Haryana, known for its strategic location near the Punjab border and the city of Ambala, a major railway and military hub.
  • D. Sabha District
    Sabha District is an administrative region in southwestern Libya centered around the city of Sabha, a key hub in the Fezzan desert area.
  • E. Sonipat district
    Sonipat district is an administrative region in northern India known for its rapidly developing urban centers, industrial growth, and proximity to the national capital, Delhi.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde704af88190a132626acc99745f completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8b751308190a7c6a670a245d97f completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:59 p.m.