Triple

T11618621
Position Surface form Disambiguated ID Type / Status
Subject Pa Sak River E275574 entity
Predicate passesNear P416 FINISHED
Object Ayutthaya city 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 city | Statement: [Pa Sak River, passesNear, Ayutthaya city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayutthaya city
Context triple: [Pa Sak River, passesNear, Ayutthaya city]
  • 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. Chiang Mai
    Chiang Mai is a historic city in northern Thailand known for its ancient temples, vibrant night markets, and surrounding mountainous landscapes.
  • C. Suphan Buri
    Suphan Buri is a province in central Thailand known for its rich history, traditional culture, and agricultural landscapes.
  • D. Lanna
    Lanna was a former kingdom and cultural region in what is now northern Thailand, known for its distinct language, art, and Buddhist traditions.
  • E. 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.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1330cfc0819086a07139b6c82c10 completed April 27, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:38 p.m.