Triple

T10001863
Position Surface form Disambiguated ID Type / Status
Subject Krabi Province E197345 entity
Predicate borderedBy P224 FINISHED
Object Trang Province E151103 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: Trang Province | Statement: [Krabi Province, borderedBy, Trang Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trang Province
Context triple: [Krabi Province, borderedBy, Trang Province]
  • A. Trang province chosen
    Trang province is a coastal province in southern Thailand known for its Andaman Sea islands, limestone cliffs, and rich cultural and culinary traditions.
  • B. Quang Ngai Province
    Quang Ngai Province is a coastal region in central Vietnam historically known as the site of the My Lai massacre during the Vietnam War.
  • C. Trat Province
    Trat Province is Thailand’s easternmost coastal province, known for its border with Cambodia and its popular island destinations such as Ko Chang.
  • D. Hung Yen Province
    Hung Yen Province is a small, predominantly agricultural province in northern Vietnam’s Red River Delta, known for its fertile plains and proximity to Hanoi.
  • E. Thai Binh Province
    Thai Binh Province is a coastal agricultural province in Vietnam’s Red River Delta, known especially for its rice cultivation and dense rural population.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc9078788190a4e75dd7ff830c63 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b5f15c6c8190b52924d6f86d63e0 completed April 5, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:51 p.m.