Triple
T36494820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estació de França |
E899154
|
entity |
| Predicate | metroConnectionStation |
P65119
|
FINISHED |
| Object | Barceloneta station |
—
|
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: Barceloneta station | Statement: [Estació de França, metroConnectionStation, Barceloneta station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metroConnectionStation Context triple: [Estació de França, metroConnectionStation, Barceloneta station]
-
A.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
B.
interchangeStation
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
-
C.
connectsToRailStation
chosen
Indicates that one entity has a direct link, route, or access connection to a rail station.
-
D.
terminusStation
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
-
E.
railConnectionNearby
Indicates that there is a railway connection located close to the referenced entity or location.
- F. None of above.
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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:10 p.m.