Triple

T11499877
Position Surface form Disambiguated ID Type / Status
Subject CaixaForum Zaragoza E272635 entity
Predicate near P350 FINISHED
Object Zaragoza-Delicias station E271142 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: Zaragoza-Delicias station | Statement: [CaixaForum Zaragoza, near, Zaragoza-Delicias station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaragoza-Delicias station
Context triple: [CaixaForum Zaragoza, near, Zaragoza-Delicias station]
  • A. Zaragoza-Delicias station chosen
    Zaragoza-Delicias station is the main intermodal railway hub in Zaragoza, Spain, serving high-speed, regional, and long-distance train services.
  • B. Pedrero station
    Pedrero station is a Santiago Metro stop in Chile located near the Estadio Monumental, serving passengers on the city’s Line 5.
  • C. San Javier station
    San Javier station is a major western terminus and transfer hub of the Medellín Metro system in Medellín, Colombia.
  • D. Talavera station
    Talavera station is one of the intermediate stops on Wellington’s historic cable car line in New Zealand, serving nearby residential and university areas.
  • E. Medrano station
    Medrano station is a stop on Buenos Aires’ Line B underground, serving the Almagro neighborhood near Avenida Medrano.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604aa9e3c8190ad86e4d05a67c8ac completed April 20, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:36 p.m.