Triple

T8599988
Position Surface form Disambiguated ID Type / Status
Subject Ko Chang E203649 entity
Predicate locatedIn P40 FINISHED
Object Trat Province E689764 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: Trat Province | Statement: [Ko Chang, locatedIn, Trat Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trat Province
Context triple: [Ko Chang, locatedIn, Trat Province]
  • A. Trat Province chosen
    Trat Province is Thailand’s easternmost coastal province, known for its border with Cambodia and its popular island destinations such as Ko Chang.
  • B. Bolikhamsai Province
    Bolikhamsai Province is a central region of Laos known for its forested mountains, river valleys, and role as a key transit and hydropower area between the country’s north and south.
  • C. Salavan Province
    Salavan Province is a largely rural region in southern Laos known for its ethnic diversity, coffee-growing Bolaven Plateau, and proximity to the Vietnamese border.
  • D. Trongsa District
    Trongsa District is a central district of Bhutan known for its strategic location, historical significance, and the prominent Trongsa Dzong overlooking the Mangde Chhu valley.
  • E. Buriram Province
    Buriram Province is a northeastern region of Thailand known for its rich Khmer heritage, historical temples, and passionate football culture.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d7c184819083236c75f9ccc9cf completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc839cdc819093c3cd0e44f173a2 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:24 p.m.