Triple

T2822226
Position Surface form Disambiguated ID Type / Status
Subject Abbottabad E54836 entity
Predicate isPartOf P10 FINISHED
Object Abbottabad District E54836 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: Abbottabad District | Statement: [Abbottabad, isPartOf, Abbottabad District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbottabad District
Context triple: [Abbottabad, isPartOf, Abbottabad District]
  • A. 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.
  • B. Swat District
    Swat District is a mountainous administrative region in Pakistan’s Khyber Pakhtunkhwa province, renowned for its scenic valleys, rivers, and historical Buddhist heritage.
  • C. Khyber District
    Khyber District is an administrative district in northwestern Pakistan, strategically located along the historic Khyber Pass near the Afghan border.
  • D. Orakzai Agency
    Orakzai Agency was a former administrative district in Pakistan’s northwestern tribal belt, inhabited mainly by the Orakzai Pashtun tribe and later merged into Khyber Pakhtunkhwa province.
  • E. Abbottabad chosen
    Abbottabad is a city in northern Pakistan known for its military academy, scenic hilly landscape, and role as a major urban 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde704af88190a132626acc99745f completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b24af876288190ae21a1f434768e0d completed March 12, 2026, 5:11 a.m.
Created at: March 6, 2026, 9:59 p.m.