Triple
T18721437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Impulsora station |
E457783
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object | Line B |
—
|
NE NERFINISHED |
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: Line B | Statement: [Impulsora station, line, Line B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line B Context triple: [Impulsora station, line, Line B]
-
A.
Line B
chosen
Line B is one of the main rapid transit lines of the Medellín Metro system, serving several neighborhoods in the Aburrá Valley metropolitan area.
-
B.
Line B
Line B is one of the main routes of the Porto Metro light rail system in Porto, Portugal, connecting key suburban areas with the city center.
-
C.
Line B
Line B is one of the main routes of the Rotterdam Metro rapid transit system, serving multiple districts and suburbs in and around Rotterdam.
-
D.
Line B
Line B is one of the main lines of the Buenos Aires Underground, running through key commercial and residential areas of the city.
-
E.
Line B
Line B is one of the main routes of the Strasbourg tramway network, serving key districts and connecting important transit hubs across the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56abadca08190ab1e699b7dcc0c4d |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:50 a.m.