Triple

T13047280
Position Surface form Disambiguated ID Type / Status
Subject Isan E327356 entity
Predicate hasMajorCity P316 FINISHED
Object Roi Et E1072481 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: Roi Et | Statement: [Isan, hasMajorCity, Roi Et]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roi Et
Context triple: [Isan, hasMajorCity, Roi Et]
  • A. Roi Et chosen
    Roi Et is a provincial capital city in northeastern Thailand known for its large Buddha statues, historical temples, and role as a regional administrative and cultural center.
  • B. Phatthalung
    Phatthalung is a town in southern Thailand that serves as the administrative and cultural center of Phatthalung province.
  • C. Khon Kaen
    Khon Kaen is a major urban and economic center in northeastern Thailand, known for its universities, transportation links, and role as a regional hub.
  • D. Udon Thani
    Udon Thani is a major city in northeastern Thailand known as a regional commercial and transportation hub near the Lao border.
  • E. Chachoengsao
    Chachoengsao is a province in eastern Thailand known for its historic temples, agricultural landscape, and proximity to Bangkok and major transport hubs.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9805125e481908ed56f708de98a9e completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdee8d1408190942ff455e7b1b6e2 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 8:57 p.m.