Triple

T22295636
Position Surface form Disambiguated ID Type / Status
Subject Cercanías Madrid Line C-4 E551111 entity
Predicate hasTerminus P388 FINISHED
Object Parla NE NERFINISHED

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: Parla | Statement: [Cercanías Madrid Line C-4, hasTerminus, Parla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parla
Context triple: [Cercanías Madrid Line C-4, hasTerminus, Parla]
  • A. Parla chosen
    Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
  • B. Neapoli
    Neapoli is a small town in eastern Crete, Greece, known for its traditional architecture and role as a local administrative and cultural center.
  • C. Montegallo
    Montegallo is a small mountainous municipality in Italy’s Marche region, known for its scenic Apennine landscapes and traditional rural character.
  • D. Conversano
    Conversano is a historic hilltop town in the Apulia region of southern Italy, known for its medieval castle, Romanesque cathedral, and traditional white-stone architecture.
  • E. Brindisini
    Brindisini are the inhabitants or natives of Brindisi, a historic port city in the Apulia region of southern Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1571fe76c8190a40b3679802a5475 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.