Triple

T7481017
Position Surface form Disambiguated ID Type / Status
Subject Red Line (Lisbon Metro) E176756 entity
Predicate hasStation P35 FINISHED
Object Encarnação station E668408 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: Encarnação station | Statement: [Red Line (Lisbon Metro), hasStation, Encarnação station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Encarnação station
Context triple: [Red Line (Lisbon Metro), hasStation, Encarnação station]
  • A. San Pablo station
    San Pablo station is an interchange station in the Santiago Metro network that connects Line 5 with other lines in the western part of Santiago, Chile.
  • B. Santa Isabel station
    Santa Isabel station is an underground stop on Santiago, Chile’s Metro system, serving Line 5 in the central area of the city.
  • C. Pino Suárez station
    Pino Suárez station is a major Mexico City Metro interchange hub located in the historic center, connecting multiple lines and serving as a key transit point for commuters.
  • D. Cabo Ruivo station chosen
    Cabo Ruivo station is a Lisbon Metro stop on the Red Line serving the Parque das Nações and eastern Lisbon area.
  • E. Río de los Remedios station
    Río de los Remedios station is a Mexico City Metro rapid transit stop serving commuters in the northern metropolitan area along Line B.
  • 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f534aa388190b3bb3e16be3a54c8 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845fd62dc8190a64f5464a204c0d2 completed March 28, 2026, 9:19 p.m.
Created at: March 27, 2026, 3:42 p.m.