Triple

T28549349
Position Surface form Disambiguated ID Type / Status
Subject Malley Ice Rink E722837 entity
Predicate servesCity P82 FINISHED
Object Lausanne E74605 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: Lausanne | Statement: [Malley Ice Rink, servesCity, Lausanne]

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_69f01a60204481909af1bb76247b8221 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6500f8ae48190b4f5bd98b505c037 completed May 2, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf1d71a88190a6d5c24e29fb7280 completed June 1, 2026, 12:15 a.m.
Created at: April 28, 2026, 3:41 a.m.