Triple

T12378814
Position Surface form Disambiguated ID Type / Status
Subject Line 1 (Santiago Metro) E295692 entity
Predicate hasTerminus P388 FINISHED
Object San Pablo station E621951 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: San Pablo station | Statement: [Line 1 (Santiago Metro), hasTerminus, San Pablo station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pablo station
Context triple: [Line 1 (Santiago Metro), hasTerminus, San Pablo station]
  • A. San Pablo station chosen
    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. Barra Funda station
    Barra Funda station is a major intermodal rail and metro hub in São Paulo, Brazil, serving suburban, regional, and urban transit lines.
  • D. Cabo Ruivo station
    Cabo Ruivo station is a Lisbon Metro stop on the Red Line serving the Parque das Nações and eastern Lisbon area.
  • E. Francisco Morato station
    Francisco Morato station is a commuter rail station in the municipality of Francisco Morato, São Paulo, serving passengers on CPTM’s Line 7–Rubi.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fb9eca48190aa6612ffc5ed0df2 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5e627b4819084c830f4a46a8cda completed May 3, 2026, 4:58 a.m.
Created at: April 8, 2026, 9:54 p.m.