Triple

T15822103
Position Surface form Disambiguated ID Type / Status
Subject Toledo railway station E383637 entity
Predicate operator P179 FINISHED
Object Adif E369133 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: Adif | Statement: [Toledo railway station, operator, Adif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adif
Context triple: [Toledo railway station, operator, Adif]
  • A. Adif chosen
    Adif is Spain’s state-owned railway infrastructure manager responsible for the construction, maintenance, and operation of most of the country’s rail network and stations.
  • B. Alta Velocidad Española
    Alta Velocidad Española is Spain’s national high-speed rail network, operated by Renfe and known for connecting major cities at speeds comparable to air travel.
  • C. Renfe Mercancías
    Renfe Mercancías is the freight transport division of Spain’s national railway operator, specializing in the movement of goods by rail across the Iberian Peninsula and beyond.
  • D. OUIGO España
    OUIGO España is a low-cost high-speed rail operator in Spain that runs budget-friendly AVE services on major routes such as Madrid–Barcelona and Madrid–Valencia.
  • E. Ouigo
    Ouigo is a low-cost high-speed train service operated by France's SNCF, offering budget TGV travel with simplified onboard services.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a887d881908f74a1fcba390727 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99999c2c8190b1838aed40e12061 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.