Triple

T8242575
Position Surface form Disambiguated ID Type / Status
Subject Narita E192571 entity
Predicate hasSisterCity P919 FINISHED
Object Ayutthaya, Thailand E422223 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: Ayutthaya, Thailand | Statement: [Narita, hasSisterCity, Ayutthaya, Thailand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayutthaya, Thailand
Context triple: [Narita, hasSisterCity, Ayutthaya, Thailand]
  • A. Ayutthaya, Thailand chosen
    Ayutthaya, Thailand is a historic city north of Bangkok known for its ancient temple ruins and status as a former capital of the Kingdom of Siam.
  • B. Sangkhlaburi
    Sangkhlaburi is a remote Thai town near the Myanmar border, known for its cultural mix of Thai, Mon, and Karen communities and its iconic wooden Mon Bridge over the Songkalia River.
  • C. Korat, Thailand
    Korat, Thailand—formally known as Nakhon Ratchasima—is a major city in northeastern Thailand that serves as a regional economic and transportation hub.
  • D. Hat Yai
    Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
  • E. Chiang Mai
    Chiang Mai is a historic city in northern Thailand known for its ancient temples, vibrant night markets, and surrounding mountainous landscapes.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb786f65708190a92ec282b280c813 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd351871ac81909f8e4a72a6b99ac3 completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:47 p.m.