Triple

T13143958
Position Surface form Disambiguated ID Type / Status
Subject Biotrén E312286 entity
Predicate hasStation P35 FINISHED
Object Hualqui station
Hualqui station is a railway stop on Chile’s Biotrén commuter rail network serving the town of Hualqui in the Bío Bío Region.
 E1026137 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: Hualqui station | Statement: [Biotrén, hasStation, Hualqui station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hualqui station
Context triple: [Biotrén, hasStation, Hualqui station]
  • A. Quilpué station
    Quilpué station is a commuter rail stop on Chile’s Valparaíso Metro system serving the city of Quilpué in the Valparaíso Region.
  • B. Lima station
    Lima station is an underground metro station on Buenos Aires’ Line A, serving the city’s central area.
  • C. Pudahuel station
    Pudahuel station is a Santiago Metro station on Line 5 that serves the Pudahuel commune in western Santiago, Chile.
  • D. Tupahue station
    Tupahue station is a mid-slope stop on Santiago’s aerial cable car system that serves visitors accessing San Cristóbal Hill and its surrounding park areas.
  • E. Niquía station
    Niquía station is a major northern terminal station of the Medellín Metro system, serving as a key access point to the metropolitan area.
  • 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: Hualqui station
Triple: [Biotrén, hasStation, Hualqui station]
Generated description
Hualqui station is a railway stop on Chile’s Biotrén commuter rail network serving the town of Hualqui in the Bío Bío Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hualqui station
Target entity description: Hualqui station is a railway stop on Chile’s Biotrén commuter rail network serving the town of Hualqui in the Bío Bío Region.
  • A. Quilpué station
    Quilpué station is a commuter rail stop on Chile’s Valparaíso Metro system serving the city of Quilpué in the Valparaíso Region.
  • B. Lima station
    Lima station is an underground metro station on Buenos Aires’ Line A, serving the city’s central area.
  • C. Pudahuel station
    Pudahuel station is a Santiago Metro station on Line 5 that serves the Pudahuel commune in western Santiago, Chile.
  • D. Tupahue station
    Tupahue station is a mid-slope stop on Santiago’s aerial cable car system that serves visitors accessing San Cristóbal Hill and its surrounding park areas.
  • E. Niquía station
    Niquía station is a major northern terminal station of the Medellín Metro system, serving as a key access point to the metropolitan area.
  • 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_69f6f5d809948190aced5ce377402463 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f6e10f2481909b405169dd7e5cf9 completed May 3, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6f73b301881909d792dfebd2e468f completed May 3, 2026, 7:20 a.m.
Created at: April 9, 2026, 9:10 p.m.