Triple

T6250868
Position Surface form Disambiguated ID Type / Status
Subject Beneluxtunnel E140041 entity
Predicate locatedNear P294 FINISHED
Object Schiedam E163682 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: Schiedam | Statement: [Beneluxtunnel, locatedNear, Schiedam]

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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633dde348190bbf02a943d94e3be completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5b184e3df081909ef14d079416a416 completed July 18, 2026, 6:08 a.m.
Created at: March 22, 2026, 4:24 p.m.