Triple

T6673929
Position Surface form Disambiguated ID Type / Status
Subject Santiago Metro Line 5 E151801 entity
Predicate hasStation P35 FINISHED
Object Cumming station E296093 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: Cumming station | Statement: [Santiago Metro Line 5, hasStation, Cumming station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumming station
Context triple: [Santiago Metro Line 5, hasStation, Cumming station]
  • A. Cumming station chosen
    Cumming station is an underground stop on Santiago’s Metro network, serving Line 5 in the central area of Chile’s capital city.
  • B. Highlands station
    Highlands station is a commuter rail stop in Hinsdale, Illinois, serving local passengers on the Metra BNSF Railway Line in the Chicago metropolitan area.
  • C. High Town station
    High Town station is the upper terminus of the Bridgnorth Cliff Railway funicular in Bridgnorth, Shropshire, England.
  • D. Highland station
    Highland station is a SEPTA Regional Rail stop in Philadelphia, Pennsylvania, serving passengers on the Chestnut Hill West Line.
  • E. McEwan Station
    McEwan Station is a light rail transit stop on Edmonton’s LRT network in Edmonton, Alberta, Canada.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f1d9d081909670f5c0b7389c0d completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a10ec08190983a66b874a1d541 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.