Triple

T2482844
Position Surface form Disambiguated ID Type / Status
Subject Hazara Division E55858 entity
Predicate hasPart P35 FINISHED
Object Haripur District E53477 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: Haripur District | Statement: [Hazara Division, hasPart, Haripur District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haripur District
Context triple: [Hazara Division, hasPart, Haripur District]
  • A. Malir District
    Malir District is an administrative district in the eastern part of Karachi, Pakistan, known for its relatively rural character, agricultural land, and rapidly growing urban settlements.
  • B. Shikarpur District
    Shikarpur District is a historic administrative region in the Sindh province of present-day Pakistan, known for its role as a commercial and cultural center, especially during the British colonial period.
  • C. Rawalpindi District
    Rawalpindi District is an administrative district in Pakistan’s Punjab province that includes the city of Rawalpindi and surrounding urban and rural areas.
  • D. Chakwal
    Chakwal is a city in Pakistan’s Punjab province, known as a regional administrative and commercial center in the Potohar Plateau area.
  • E. Haripur chosen
    Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd163378481908b75f2f5de0e89c6 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f8c02188190a7cf3e0531a66683 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.