Triple
T37309413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parque Goya |
E926163
|
entity |
| Predicate | roleInTramNetwork |
P29465
|
FINISHED |
| Object | terminus of Zaragoza tram system |
—
|
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: terminus of Zaragoza tram system | Statement: [Parque Goya, roleInTramNetwork, terminus of Zaragoza tram system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTramNetwork Context triple: [Parque Goya, roleInTramNetwork, terminus of Zaragoza tram system]
-
A.
undergroundRailroadRole
Indicates the specific role or function an entity played within the operations or support network of the Underground Railroad.
-
B.
partOfTransitSystem
Indicates that something is a component or segment within a larger transit or transportation system.
-
C.
hasPublicTransitRole
chosen
Indicates that an entity holds a specific functional role or responsibility within a public transit system.
-
D.
usedByTransitSystem
Indicates that something is utilized or operated by a transit or public transportation system.
-
E.
tramOperator
Indicates that one entity operates, manages, or runs tram services for another entity or area.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01ed1790148190b08c1dba53de4371 |
completed | May 11, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_6a01e9c20798819085760b377dc7b3fa |
completed | May 11, 2026, 2:37 p.m. |
Created at: May 3, 2026, 4:16 p.m.