Triple

T4139070
Position Surface form Disambiguated ID Type / Status
Subject Hazara E89227 entity
Predicate hasCity P316 FINISHED
Object Mansehra 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 | Statement: [Hazara, hasCity, Mansehra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mansehra
Context triple: [Hazara, hasCity, Mansehra]
  • A. Mansehra chosen
    Mansehra is a major city in northern Pakistan known as a gateway to the Kaghan Valley and the Karakoram Highway.
  • B. Baramulla
    Baramulla is a town in the Indian union territory of Jammu and Kashmir, known as a historic gateway to the Kashmir Valley and an important settlement along the Jhelum River.
  • C. Parachinar
    Parachinar is a major town in northwestern Pakistan near the Afghan border, known as the administrative center of Kurram District and for its strategic and sectarian-sensitive location.
  • D. Nowshera
    Nowshera is a city in northern Pakistan known as an important commercial and military center in the Khyber Pakhtunkhwa province.
  • E. Barwala
    Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02485a788190ba6ee769e663b2d3 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c9f8a081908c2910ac475e4974 completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.