Triple

T16464266
Position Surface form Disambiguated ID Type / Status
Subject Patong Beach E399887 entity
Predicate partOf P40 FINISHED
Object Kathu District E1218637 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: Kathu District | Statement: [Patong Beach, partOf, Kathu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathu District
Context triple: [Patong Beach, partOf, Kathu District]
  • A. Kathu District chosen
    Kathu District is an administrative district in Thailand that encompasses part of Phuket Island, including the popular tourist area of Patong.
  • B. Thatta District
    Thatta District is an administrative district in the Sindh province of Pakistan, known for its historical city of Thatta and numerous archaeological and cultural heritage sites.
  • C. Bannu District
    Bannu District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its strategic location near the tribal areas and its role as a regional commercial and cultural center.
  • D. Umarkot District
    Umarkot District is an administrative district in the Sindh province of Pakistan, known for its historical significance and cultural heritage.
  • E. Shah Wali Kot District
    Shah Wali Kot District is a rural administrative district in northern Kandahar Province, Afghanistan, known for its strategic location and history of military activity.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d83687081908450657e1da6f6af completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679ecf4c819096e7f698b81fe25a completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:10 a.m.