Triple
T11962074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4 (Santiago Metro) |
E284691
|
entity |
| Predicate | interchangeStation |
P15892
|
FINISHED |
| Object | Tobalaba station |
E956306
|
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: Tobalaba station | Statement: [Line 4 (Santiago Metro), interchangeStation, Tobalaba station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tobalaba station Context triple: [Line 4 (Santiago Metro), interchangeStation, Tobalaba station]
-
A.
Tobalaba station
chosen
Tobalaba station is a major Santiago Metro interchange and commercial hub in eastern Santiago, Chile.
-
B.
Dorrego station
Dorrego station is a stop on Line B of the Buenos Aires Underground, serving the Villa Crespo area of Argentina’s capital city.
-
C.
Tepalcates station
Tepalcates station is a Mexico City Metro stop in the eastern part of the city that serves as a key transit point on Line A, connecting urban neighborhoods with the State of Mexico.
-
D.
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.
-
E.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471d625c88190baed4ea08853988a |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.