Triple

T10331257
Position Surface form Disambiguated ID Type / Status
Subject TER Auvergne-Rhône-Alpes services E242878 entity
Predicate partOfNetwork P840 FINISHED
Object TER E41185 NE FINISHED

How this triple was built (2 steps)

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: TER | Statement: [TER Auvergne-Rhône-Alpes services, partOfNetwork, TER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TER
Context triple: [TER Auvergne-Rhône-Alpes services, partOfNetwork, TER]
  • A. TER
    TER is the IATA airport code for Lajes Airport on Terceira Island in the Azores, Portugal.
  • B. TER chosen
    TER is a network of regional express trains in France that provides local passenger rail services across various regions.
  • C. Ter
    The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
  • D. TR
    TR is the postcode area covering Truro and much of Cornwall in southwest England.
  • E. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fcaf4c8190bdcfcb953d88ea2f completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7504679ec8190926d2c5016653cea completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:52 a.m.