Triple
T3423108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Moneda station |
E72158
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Metro S.A. |
E59641
|
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: Metro S.A. | Statement: [La Moneda station, operator, Metro S.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metro S.A. Context triple: [La Moneda station, operator, Metro S.A.]
-
A.
Metro S.A.
chosen
Metro S.A. is the state-owned company responsible for managing and operating the Santiago Metro system in Chile’s capital city.
-
B.
METRO
METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
-
C.
Metros
Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
-
D.
Metrocars
Metrocars are the electric multiple unit trains specifically designed and used for passenger services on the Tyne and Wear Metro system in North East England.
-
E.
The Ville
The Ville is the dedicated student cheering section for the University of Louisville Cardinals women’s basketball team.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb95223e081908b2954769d2f46c8 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360c789b48190807bddf1a3bf8d2e |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:15 p.m.