Triple
T8181142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subte |
E191062
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Emova Movilidad |
E191063
|
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: Emova Movilidad | Statement: [Subte, operator, Emova Movilidad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emova Movilidad Context triple: [Subte, operator, Emova Movilidad]
-
A.
Emova Movilidad
chosen
Emova Movilidad is a private company responsible for operating and managing the Buenos Aires Underground public transit system in Argentina.
-
B.
Rimac
Rimac is a Croatian automotive company renowned for developing high-performance electric hypercars and advanced EV technologies used by major luxury and sports car manufacturers.
-
C.
Enova SF
Enova SF is a Norwegian state-owned enterprise that promotes energy efficiency, renewable energy, and reduced greenhouse gas emissions through funding and advisory programs.
-
D.
Evvy
Evvy is a given name typically used as a short or affectionate form of longer names such as Evan or Evelyn.
-
E.
Škoda Electric
Škoda Electric is a Czech manufacturer specializing in electric public transport vehicles and equipment, particularly trolleybuses and related traction systems.
- 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_69ccbf86f8848190a196f7c8d3ad2b36 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:40 p.m.