Triple

T12568453
Position Surface form Disambiguated ID Type / Status
Subject Santa Rosa station E295533 entity
Predicate partOf P40 FINISHED
Object Line 4A E59643 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: Line 4A | Statement: [Santa Rosa station, partOf, Line 4A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 4A
Context triple: [Santa Rosa station, partOf, Line 4A]
  • A. Line 4A chosen
    Line 4A is a short branch line of the Santiago Metro in Chile that connects parts of southeastern Santiago to the main Line 4 corridor.
  • B. Line 4B
    Line 4B is a planned rapid transit line of the Ho Chi Minh City Metro intended to expand urban rail connectivity within Vietnam’s largest city.
  • C. Line 4–Yellow
    Line 4–Yellow is a major driverless metro line in São Paulo’s rapid transit system, connecting key central and western districts with high-capacity, automated service.
  • D. Line 7A
    Line 7A is a branch of Madrid Metro’s Line 7 that serves as a shuttle-like extension connecting the main line to additional suburban stations.
  • E. Line 3A
    Line 3A is a planned rapid transit route of the Ho Chi Minh City Metro intended to serve as part of the city’s future urban rail network.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655914f908190afbebbec3cb57e73 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:50 p.m.