Triple

T23379702
Position Surface form Disambiguated ID Type / Status
Subject Rhoonse Grienden E593706 entity
Predicate nearbyCity P350 FINISHED
Object Rotterdam E18419 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: Rotterdam | Statement: [Rhoonse Grienden, nearbyCity, Rotterdam]

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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b6ddfc8190a23d291286f3fe42 completed April 29, 2026, 6:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a118f6b6b8481908df3cb7d7ac8ca93 completed May 23, 2026, 11:28 a.m.
Created at: April 17, 2026, 5:34 p.m.