Triple

T13270339
Position Surface form Disambiguated ID Type / Status
Subject Derajat linguistic area E316038 entity
Predicate hasCenter P35 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: [Derajat linguistic area, hasCenter, Dera Ismail Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dera Ismail Khan
Context triple: [Derajat linguistic area, hasCenter, 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. Suleimankhel
    Suleimankhel is a prominent Pashtun tribal group that forms a major branch of the larger Ghilji confederation in Afghanistan and Pakistan.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901f59888190b8147836d2fcac5e completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd54f5323c8190aa239bad461b0857 completed May 8, 2026, 3:13 a.m.
Created at: April 9, 2026, 9:26 p.m.