Triple
T8181175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subte |
E191062
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Retiro station |
E192128
|
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: Retiro station | Statement: [Subte, hasStation, Retiro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Retiro station Context triple: [Subte, hasStation, Retiro station]
-
A.
Retiro station
chosen
Retiro station is a major Buenos Aires Underground terminus and transport hub located in the Retiro district of Argentina’s capital.
-
B.
Pino Suárez station
Pino Suárez station is a major Mexico City Metro interchange hub located in the historic center, connecting multiple lines and serving as a key transit point for commuters.
-
C.
Francisco station
Francisco station is an elevated Chicago 'L' rapid transit stop on the Brown Line located in the city's Ravenswood Manor neighborhood.
-
D.
Vicente Valdés station
Vicente Valdés station is a key interchange and terminal station in Santiago's metro network, serving as an important hub for passengers in the southern part of the city.
-
E.
San Pedrito station
San Pedrito station is the western terminal of Line A on the Buenos Aires Underground (Subte) system in Argentina.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd94bbdc288190aee5187e95ca7a8d |
completed | April 1, 2026, 9:57 p.m. |
Created at: March 30, 2026, 5:40 p.m.