Triple

T25674772
Position Surface form Disambiguated ID Type / Status
Subject Pančevo E643775 entity
Predicate locatedOnRiver P165 FINISHED
Object Tamiš E37143 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: Tamiš | Statement: [Pančevo, locatedOnRiver, Tamiš]

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_69e77e7f69808190ad27df1006f6037a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fb3535808190bb1843eb32cd2c4e completed May 2, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ec95c7688190b2b787a5c6597e6e completed May 22, 2026, 11:53 p.m.
Created at: April 21, 2026, 7:34 p.m.