Triple

T13081241
Position Surface form Disambiguated ID Type / Status
Subject Ping River E310210 entity
Predicate flowsThrough P225 FINISHED
Object Tak Province E177831 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: Tak Province | Statement: [Ping River, flowsThrough, Tak Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tak Province
Context triple: [Ping River, flowsThrough, Tak Province]
  • A. Tak Province chosen
    Tak Province is a mountainous region in western Thailand known for its diverse ethnic communities, including a significant Karen population, and its forests, waterfalls, and border trade with Myanmar.
  • B. Tamba Province
    Tamba Province was an old administrative region of Japan located in what is now central Honshu, historically part of the Kinai area near Kyoto.
  • C. Namosi Province
    Namosi Province is a small, inland and mountainous province on Fiji’s main island of Viti Levu, known for its rugged terrain, rainforests, and traditional Fijian villages.
  • D. Sankuru Province
    Sankuru Province is an administrative province in the central Democratic Republic of the Congo, known for its vast forests and location within the broader Kasai region.
  • E. Tata Province
    Tata Province is an administrative region in southern Morocco known for its desert landscapes, oases, and Berber cultural heritage.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98119cb7081908b78ffe83ec99851 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60c603881909dff49f4356042b5 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:01 p.m.