Triple

T17134113
Position Surface form Disambiguated ID Type / Status
Subject Battle of Attock E415791 entity
Predicate location P40 FINISHED
Object Attock 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: Attock | Statement: [Battle of Attock, location, Attock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attock
Context triple: [Battle of Attock, location, Attock]
  • A. Attock chosen
    Attock is a historic city in northern Pakistan strategically located along the Indus River, long serving as a key gateway between the Punjab region and Khyber Pakhtunkhwa.
  • B. Haripur
    Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
  • C. Haripur
    Haripur is a municipality-level town in Nepal’s Madhesh Province, known as a local administrative and commercial center in the southeastern Terai region.
  • D. Panjgur
    Panjgur is a town and district headquarters in Pakistan’s Balochistan province, known for its date cultivation and location along historic trade routes.
  • E. Chakwal
    Chakwal is a city in Pakistan’s Punjab province, known as a regional administrative and commercial center in the Potohar Plateau area.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02cbb7881908aa69c3443d149d5 completed April 18, 2026, 8:57 p.m.
Created at: April 10, 2026, 5:36 a.m.