Triple
T23789429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramal (Madrid Metro) |
E588050
|
entity |
| Predicate | hasDepotAccess |
P98808
|
FINISHED |
| Object | via Line 10 infrastructure |
—
|
LITERAL 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: via Line 10 infrastructure | Statement: [Ramal (Madrid Metro), hasDepotAccess, via Line 10 infrastructure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDepotAccess Context triple: [Ramal (Madrid Metro), hasDepotAccess, via Line 10 infrastructure]
-
A.
depotFor
Indicates that one entity serves as a storage or distribution center location dedicated to supporting or supplying another entity.
-
B.
hasAdjacentDepot
Indicates that one entity has a depot located directly next to or adjoining it.
-
C.
hasHumanAccess
Indicates that a human is able to access, use, or interact with the referenced entity or resource.
-
D.
hasNearbyAccess
chosen
Indicates that one entity has convenient, close-proximity access to another resource, service, or location.
-
E.
depot
Indicates that an entity serves as a storage or distribution center location for another entity, such as goods, vehicles, or resources.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c633f7908190bac7fdac5990920a |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:17 p.m.