Triple

T1598087
Position Surface form Disambiguated ID Type / Status
Subject Krabi E34328 entity
Predicate nearbyProvince P17964 FINISHED
Object Trang E151101 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 | Statement: [Krabi, nearbyProvince, Trang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trang
Context triple: [Krabi, nearbyProvince, Trang]
  • A. Trang chosen
    Trang is a coastal city in southern Thailand known for its laid-back atmosphere, nearby islands, and distinctive local cuisine.
  • B. Thieu
    Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
  • C. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • D. Nam Ou
    Nam Ou is a significant river in northern Laos known for its scenic valleys, hydropower dams, and role in regional transport and livelihoods.
  • E. Thuy
    Thuy is a Vietnamese given name commonly used for females and associated with meanings related to water, gentleness, or purity.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61df32a88190a7e823a77bdcc84a completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a848ec819085c82be8eaea2044 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.