Triple

T12058642
Position Surface form Disambiguated ID Type / Status
Subject Indus Highway E287107 entity
Predicate connectsCity P4245 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: [Indus Highway, connectsCity, Dera Ismail Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dera Ismail Khan
Context triple: [Indus Highway, connectsCity, 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. Shujabad
    Shujabad is a city in southern Punjab, Pakistan, known for its agricultural economy and proximity to the regional center of Multan.
  • C. Risalpur
    Risalpur is a town in Pakistan’s Khyber Pakhtunkhwa province known as a major military and air force training center.
  • D. Khuzdar District
    Khuzdar District is an administrative district in central Balochistan, Pakistan, known for its rugged terrain and strategic location along key regional routes.
  • E. Swabi
    Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee0597c81909ad679a1ddece887 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:47 p.m.