Triple

T30100537
Position Surface form Disambiguated ID Type / Status
Subject Oxhey E764979 entity
Predicate railwayLine P848 FINISHED
Object Watford DC line E256313 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: Watford DC line | Statement: [Oxhey, railwayLine, Watford DC line]

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_69f22474e4288190b5f895fe3974aa92 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67d952c248190a3bc85a3247b0bc1 completed May 2, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27642a5e048190accc7462becd5c1b completed June 9, 2026, 12:54 a.m.
Created at: April 29, 2026, 7:08 p.m.