Triple

T36816355
Position Surface form Disambiguated ID Type / Status
Subject Sants-Montjuïc E909749 entity
Predicate hasNotableTransportFacility P135495 FINISHED
Object Barcelona Sants railway station E590180 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: Barcelona Sants railway station | Statement: [Sants-Montjuïc, hasNotableTransportFacility, Barcelona Sants railway station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableTransportFacility
Context triple: [Sants-Montjuïc, hasNotableTransportFacility, Barcelona Sants railway station]
  • A. hasPublicTransitFunction
    Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
  • B. hasPublicTransitInfrastructure
    Indicates that a location or area is equipped with facilities and systems that support public transportation services (e.g., buses, trains, trams).
  • C. hasPublicTransitNode chosen
    Indicates that there exists a public transportation stop, station, or node associated with or located at the referenced entity.
  • D. hasPublicTransitMode
    Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
  • E. hasPublicTransportConnection
    Indicates that there is an available public transportation link or service connecting the related entities.
  • F. None of above.

Provenance (4 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_69f76e7dd13c81908c60b05adb49eeb5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde5f21648190aa278d9c91a09f91 completed June 26, 2026, 2:05 a.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:13 p.m.