Triple
T4142715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valparaíso Metro |
E89306
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | El Salto station |
E419922
|
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: El Salto station | Statement: [Valparaíso Metro, hasStation, El Salto station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Salto station Context triple: [Valparaíso Metro, hasStation, El Salto station]
-
A.
Santiago Bueras station
Santiago Bueras station is an underground stop on Santiago’s Metro network serving Line 5 in the western part of the city.
-
B.
Santa Isabel station
Santa Isabel station is an underground stop on Santiago, Chile’s Metro system, serving Line 5 in the central area of the city.
-
C.
San Carlos station
San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
-
D.
Portales station
chosen
Portales station is a stop on the Valparaíso Metro system in Chile, serving passengers along the coastal urban corridor of the Valparaíso metropolitan area.
-
E.
Camino Agrícola station
Camino Agrícola station is a stop on Santiago, Chile’s Metro system serving Line 5 in the southeastern part of the city.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af024cc7e88190b23b39d6f5f2a2e0 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a843dbb48190917db61981942bd5 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 9, 2026, 3:43 p.m.