Triple

T12404746
Position Surface form Disambiguated ID Type / Status
Subject Santa Ana station E296353 entity
Predicate line5Section P43954 FINISHED
Object Baquedano–Santa Ana E59654 NE FINISHED

How this triple was built (3 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: Baquedano–Santa Ana | Statement: [Santa Ana station, line5Section, Baquedano–Santa Ana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baquedano–Santa Ana
Context triple: [Santa Ana station, line5Section, Baquedano–Santa Ana]
  • A. Baquedano chosen
    Baquedano is a major interchange station in the Santiago Metro system, serving as a key hub that connects multiple lines in central Santiago, Chile.
  • B. Salcedo
    Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
  • C. O’Higgins
    O’Higgins is a professional football club from Rancagua, Chile, that competes in the country’s top-tier league.
  • D. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • E. Páez
    Páez is a Spanish-language surname most notably associated with Venezuelan independence leader and former president José Antonio Páez.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: line5Section
Context triple: [Santa Ana station, line5Section, Baquedano–Santa Ana]
  • A. line1Section
    Indicates that one entity is a specific section or segment of another entity referred to as "line1."
  • B. line3OpeningSegment
    Indicates that something is the initial or opening segment of a third line in a sequence or structure.
  • C. line6Terminus
    Indicates the station or location where transit line 6 ends its route or service.
  • D. railwayLineSection chosen
    Indicates a specific segment or portion of a railway line that connects two points along the rail network.
  • E. lineName
    Indicates the specific name or designation assigned to a particular line (such as a route, path, or service) that distinguishes it from other lines.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e1888b48190bd750f839a26e99e completed April 10, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63486d1b881908d94218d2c391123 completed May 2, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69d94d354b488190adc83fb4f2770dd5 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.