Triple

T20833556
Position Surface form Disambiguated ID Type / Status
Subject Principe Pio area E512896 entity
Predicate hasTransportHub P2413 FINISHED
Object Príncipe Pío station 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: Príncipe Pío station | Statement: [Principe Pio area, hasTransportHub, Príncipe Pío station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Príncipe Pío station
Context triple: [Principe Pio area, hasTransportHub, Príncipe Pío station]
  • A. Príncipe Pío station chosen
    Príncipe Pío station is a major intermodal transport hub in Madrid, Spain, combining commuter rail, metro, and bus services in a historic former railway terminal.
  • B. Primos station
    Primos station is a commuter rail stop in Pennsylvania serving the SEPTA Regional Rail network.
  • C. Obrera station
    Obrera station is a Mexico City Metro station on Line 8 serving the Obrera neighborhood in the Cuauhtémoc borough.
  • D. Francisco station
    Francisco station is an elevated Chicago 'L' rapid transit stop on the Brown Line located in the city's Ravenswood Manor neighborhood.
  • E. Politécnico station
    Politécnico station is a Mexico City Metro station that serves as a key northern access point to the city’s public transit network, particularly for students and staff of the nearby National Polytechnic Institute.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32554648190bd66ac99b3a9072b completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.