Triple

T7801374
Position Surface form Disambiguated ID Type / Status
Subject U-Tapao–Rayong–Pattaya International Airport E180440 entity
Predicate serves P98 FINISHED
Object Rayong E673615 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: Rayong | Statement: [U-Tapao–Rayong–Pattaya International Airport, serves, Rayong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rayong
Context triple: [U-Tapao–Rayong–Pattaya International Airport, serves, Rayong]
  • A. Rayong Province chosen
    Rayong Province is a coastal region in eastern Thailand known for its industrial hubs, seafood, and popular beach destinations such as Ko Samet.
  • B. Ratchaburi
    Ratchaburi is a historic city in western Thailand known for its cultural heritage, traditional pottery, and proximity to famous floating markets.
  • C. Pattani
    Pattani is a historic coastal city in Thailand known for its Malay-Muslim cultural heritage and role as a regional trading and fishing center.
  • D. Chachoengsao
    Chachoengsao is a province in eastern Thailand known for its historic temples, agricultural landscape, and proximity to Bangkok and major transport hubs.
  • E. Samut Prakan Province
    Samut Prakan Province is a coastal province in central Thailand, just south of Bangkok, known for its industrial zones, seaside communities, and cultural attractions such as the Ancient City and Erawan Museum.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae98765c48190b325eee67bd663fc completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a2fd718819097cee2482bca74ad completed March 31, 2026, 5:22 a.m.
Created at: March 30, 2026, 4:33 p.m.