Triple
T13144045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biotrén |
E312288
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Talcahuano station |
E1025057
|
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: Talcahuano station | Statement: [Biotrén, hasStation, Talcahuano station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talcahuano station Context triple: [Biotrén, hasStation, Talcahuano station]
-
A.
Talcahuano station
chosen
Talcahuano station is a commuter rail stop in the city of Talcahuano, Chile, served by the Biotrén metropolitan railway system.
-
B.
Quilpué station
Quilpué station is a commuter rail stop on Chile’s Valparaíso Metro system serving the city of Quilpué in the Valparaíso Region.
-
C.
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.
-
D.
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.
-
E.
Vicuña Mackenna station
Vicuña Mackenna station is a Santiago Metro station in Chile that serves as a key interchange point and terminal for certain metro lines in the city’s 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_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_69f70a2894848190b5853127ef04932c |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:10 p.m.