Triple

T13143961
Position Surface form Disambiguated ID Type / Status
Subject Biotrén E312286 entity
Predicate hasStation P35 FINISHED
Object Chiguayante stations
Chiguayante stations are commuter rail stops on Chile’s Biotrén system serving the city of Chiguayante in the Greater Concepción area.
 E1025059 NE FINISHED

How this triple was built (4 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: Chiguayante stations | Statement: [Biotrén, hasStation, Chiguayante stations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chiguayante stations
Context triple: [Biotrén, hasStation, Chiguayante stations]
  • A. 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.
  • B. Guadalupe station
    Guadalupe station is a passenger rail station in Guadalupe, California, serving as a local stop on regional commuter and intercity rail services.
  • C. Guadalupe station
    Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
  • D. La Rinconada station
    La Rinconada station is a southern terminus of the Caracas Metro system in Venezuela, serving as a major transit hub for the city.
  • E. Angamos station
    Angamos station is a passenger stop on Line 1 of the Lima Metro system in Lima, Peru.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chiguayante stations
Triple: [Biotrén, hasStation, Chiguayante stations]
Generated description
Chiguayante stations are commuter rail stops on Chile’s Biotrén system serving the city of Chiguayante in the Greater Concepción area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chiguayante stations
Target entity description: Chiguayante stations are commuter rail stops on Chile’s Biotrén system serving the city of Chiguayante in the Greater Concepción area.
  • A. 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.
  • B. Guadalupe station
    Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
  • C. Guadalupe station
    Guadalupe station is a passenger rail station in Guadalupe, California, serving as a local stop on regional commuter and intercity rail services.
  • D. La Rinconada station
    La Rinconada station is a southern terminus of the Caracas Metro system in Venezuela, serving as a major transit hub for the city.
  • E. Angamos station
    Angamos station is a passenger stop on Line 1 of the Lima Metro system in Lima, Peru.
  • F. None of above. chosen

Provenance (5 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bce3678819082a7aa1d83f20592 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae4a87881908be57e15f001c904 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6f05a3dd48190a8b2c52f64a2edd0 completed May 3, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_69f6f1a7c8108190a9668d2f0bb634b1 completed May 3, 2026, 6:56 a.m.
Created at: April 9, 2026, 9:10 p.m.