Triple
T37246008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaça de l’Àngel |
E923852
|
entity |
| Predicate | isPedestrianNode |
P187338
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Plaça de l’Àngel, isPedestrianNode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPedestrianNode Context triple: [Plaça de l’Àngel, isPedestrianNode, true]
-
A.
isPedestrianGateway
Indicates that something serves as an access point or entrance specifically intended for use by pedestrians.
-
B.
isPedestrianFocus
Indicates that the primary attention or design consideration is directed toward pedestrians in a given context or environment.
-
C.
hasPedestrianFunction
Indicates that an entity serves a role, purpose, or function specifically related to pedestrians or pedestrian use.
-
D.
isPedestrianHeavy
Indicates that an area, route, or location experiences a high volume or density of pedestrian traffic.
-
E.
hasPedestrianCharacter
Indicates that something possesses qualities, features, or behavior characteristic of pedestrians or pedestrian use.
- F. None of above. chosen
Provenance (4 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb41333b548190912cb238ffc271c9 |
completed | May 6, 2026, 1:25 p.m. |
Created at: May 3, 2026, 4:15 p.m.