Triple

T26389352
Position Surface form Disambiguated ID Type / Status
Subject Phichit Province E663369 entity
Predicate river P165 FINISHED
Object Yom River E524016 NE FINISHED

How this triple was built (1 step)

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: Yom River | Statement: [Phichit Province, river, Yom River]

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_69ee88374adc81909868f3bab374a32f completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610be3e848190b7acb7675e37e1f5 completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c3837c5fc8190ab599c0305b430a7 completed July 19, 2026, 2:36 a.m.
Created at: April 26, 2026, 11:24 p.m.