Triple

T23201514
Position Surface form Disambiguated ID Type / Status
Subject Amphoe Mueang Krabi E580323 entity
Predicate servesAsGatewayTo P10516 FINISHED
Object Ao Nang NE NERFINISHED

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: Ao Nang | Statement: [Amphoe Mueang Krabi, servesAsGatewayTo, Ao Nang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ao Nang
Context triple: [Amphoe Mueang Krabi, servesAsGatewayTo, Ao Nang]
  • A. Sanya
    Sanya is a major resort city on the southern coast of China’s Hainan Island, known for its tropical climate and popular beach tourism.
  • B. Ao Nang Beach chosen
    Ao Nang Beach is a popular tourist beach in Krabi, Thailand, known for its scenic limestone cliffs, soft sand, and role as a gateway to nearby islands.
  • C. Hua Hin
    Hua Hin is a popular seaside resort town on the Gulf of Thailand, known for its beaches, royal residences, and relaxed coastal atmosphere.
  • D. Boao
    Boao is a coastal town in Hainan, China, best known for hosting the annual Boao Forum for Asia, a major international economic and political conference.
  • E. Ang Thong city
    Ang Thong city is the capital and main urban center of Ang Thong Province in central Thailand, known for its traditional handicrafts and historic temples.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19079c44881909e8677921b08b931 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.