Triple
T24224732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cercanías Madrid (via Sol) |
E601561
|
entity |
| Predicate | hasCentralUndergroundStation |
P81720
|
FINISHED |
| Object | Sol Cercanías 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: Sol Cercanías station | Statement: [Cercanías Madrid (via Sol), hasCentralUndergroundStation, Sol Cercanías station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralUndergroundStation Context triple: [Cercanías Madrid (via Sol), hasCentralUndergroundStation, Sol Cercanías station]
-
A.
hasCentralSubway
Indicates that a location or area is served by, or directly connected to, a central subway line or central subway system.
-
B.
hasUndergroundConnections
Indicates that one entity is linked to another through subterranean or hidden passageways, networks, or channels.
-
C.
hasSubway
Indicates that a place is served by or contains a subway (metro) system.
-
D.
hasSubwayStationEntrance
chosen
Indicates that one entity serves as an entrance or access point to a subway station associated with another entity.
-
E.
hasSubwayComplex
Indicates that one entity contains or is associated with a subway complex as part of its structure or facilities.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287ddfecc81909f5396857974bc8c |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, midnight