Triple

T16898598
Position Surface form Disambiguated ID Type / Status
Subject C-3 line of Cercanías Madrid E424374 entity
Predicate serves P98 FINISHED
Object Ciempozuelos E590187 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: Ciempozuelos | Statement: [C-3 line of Cercanías Madrid, serves, Ciempozuelos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciempozuelos
Context triple: [C-3 line of Cercanías Madrid, serves, Ciempozuelos]
  • A. Ciempozuelos chosen
    Ciempozuelos is a municipality in the Community of Madrid, Spain, known for its residential character and rail connections to Madrid.
  • B. Cubanacán
    Cubanacán is an upscale residential and diplomatic neighborhood in western Havana, Cuba, known for its spacious villas and embassies.
  • C. Navacerrada
    Navacerrada is a mountain village and popular outdoor recreation destination in the Sierra de Guadarrama range near Madrid, Spain.
  • D. Valle de Bujaruelo
    Valle de Bujaruelo is a scenic Pyrenean valley in northern Spain known for its rugged mountain landscapes, hiking routes, and proximity to the French border.
  • E. Balagteña
    Balagteña is a demonym referring to a female resident or native of the municipality of Balagtas in the Philippines.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8da7b0481909111358871875023 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b0783c81909c87de503d5e7e3c completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.