Triple

T4536754
Position Surface form Disambiguated ID Type / Status
Subject Makati E107424 entity
Predicate hasRailStation P726 FINISHED
Object Guadalupe station E288469 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: Guadalupe station | Statement: [Makati, hasRailStation, Guadalupe station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guadalupe station
Context triple: [Makati, hasRailStation, Guadalupe station]
  • A. Guadalupe station chosen
    Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
  • B. San Carlos station
    San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
  • C. Acatitla station
    Acatitla station is a Mexico City Metro station in the eastern part of the city that serves local commuters on the system’s Line A.
  • D. Balderas station
    Balderas station is a Mexico City Metro station in the city center known for its high passenger traffic and proximity to important cultural and historical landmarks.
  • E. Tepalcates station
    Tepalcates station is a Mexico City Metro stop in the eastern part of the city that serves as a key transit point on Line A, connecting urban neighborhoods with the State of Mexico.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57b78b8481909d79131723d4be22 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacf5858081909d38cad86d4014f2 completed March 20, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:04 p.m.