Triple

T25466902
Position Surface form Disambiguated ID Type / Status
Subject Cape Recife E638199 entity
Predicate locatedNear P294 FINISHED
Object Port Elizabeth E26242 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: Port Elizabeth | Statement: [Cape Recife, locatedNear, Port Elizabeth]

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_69e75db8bab08190baca80b4a8c315fd completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f74e449c8190afaa3c05496ed598 completed May 2, 2026, 1:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10d9e414848190a387e80a98ed9dea completed May 22, 2026, 10:34 p.m.
Created at: April 21, 2026, 2:15 p.m.