Triple

T2495133
Position Surface form Disambiguated ID Type / Status
Subject Khyber Pakhtunkhwa E52136 entity
Predicate hasMajorCity P316 FINISHED
Object Dera Ismail Khan E52133 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: Dera Ismail Khan | Statement: [Khyber Pakhtunkhwa, hasMajorCity, Dera Ismail Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dera Ismail Khan
Context triple: [Khyber Pakhtunkhwa, hasMajorCity, Dera Ismail Khan]
  • A. Dera Ismail Khan chosen
    Dera Ismail Khan is a historic city in southern Khyber Pakhtunkhwa, Pakistan, situated near the Indus River and serving as an important regional administrative and commercial center.
  • B. Swabi
    Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
  • C. Nawabshah
    Nawabshah is a major city in Pakistan known as an important commercial and agricultural center in the Sindh province.
  • D. Orakzai Agency
    Orakzai Agency was a former administrative district in Pakistan’s northwestern tribal belt, inhabited mainly by the Orakzai Pashtun tribe and later merged into Khyber Pakhtunkhwa province.
  • E. Quetta
    Quetta is a major city in western Pakistan known as the provincial capital of Balochistan and a key commercial and military center near the Afghan border.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd19541048190b9e39db119c20fe8 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98a63a44819092c017b8624e3dc8 completed March 10, 2026, 4:05 a.m.
Created at: March 6, 2026, 9:45 p.m.