Triple

T13112401
Position Surface form Disambiguated ID Type / Status
Subject Kuala Perlis E311004 entity
Predicate administrativeDivision P747 FINISHED
Object Kangar District E1053291 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: Kangar District | Statement: [Kuala Perlis, administrativeDivision, Kangar District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kangar District
Context triple: [Kuala Perlis, administrativeDivision, Kangar District]
  • A. Kangar District chosen
    Kangar District is an administrative district in the Malaysian state of Perlis, encompassing the state capital Kangar and its surrounding areas.
  • B. Karak District
    Karak District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its Pashtun population and significant oil and gas reserves.
  • C. Kech District
    Kech District is an administrative district in Pakistan’s Balochistan province, known for its strategic location in the Makran region and its headquarters at Turbat.
  • D. Buk District
    Buk District is an administrative district (gu) in the northern part of Busan, South Korea, known for its residential neighborhoods and local commercial centers.
  • E. Andar District
    Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7941e0560819080eee43a9ed0e1bb completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:05 p.m.