Triple

T17584119
Position Surface form Disambiguated ID Type / Status
Subject Dera Ghazi Khan Division E428274 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Dera Ghazi Khan city NE NERFINISHED

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 Ghazi Khan city | Statement: [Dera Ghazi Khan Division, hasUrbanCenter, Dera Ghazi Khan city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dera Ghazi Khan city
Context triple: [Dera Ghazi Khan Division, hasUrbanCenter, Dera Ghazi Khan city]
  • A. Dera Ghazi Khan chosen
    Dera Ghazi Khan is a major city in southern Punjab, Pakistan, known as an important cultural and economic center of the Seraiki-speaking region.
  • B. Dera Fateh Khan
    Dera Fateh Khan is a town in Pakistan’s Dera Ismail Khan District that serves as a key cultural and geographic center of the Derajat region.
  • C. Mandi Bahauddin
    Mandi Bahauddin is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub in the region.
  • D. Dera Ghazi Khan District
    Dera Ghazi Khan District is an administrative district in Punjab, Pakistan, known for its diverse geography from the Indus River plains to the Sulaiman Mountains and its role as a regional economic and cultural center.
  • E. Vehari
    Vehari is a city in the Punjab province of Pakistan, known as an agricultural and educational hub in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d015fc8190b2dd897026d6fcb5 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.