Triple
T7429821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Canteras Beach |
E171459
|
entity |
| Predicate | hasWalkwayType |
P74037
|
FINISHED |
| Object | seafront promenade |
—
|
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: seafront promenade | Statement: [Las Canteras Beach, hasWalkwayType, seafront promenade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWalkwayType Context triple: [Las Canteras Beach, hasWalkwayType, seafront promenade]
-
A.
hasWalkwayPosition
Indicates the spatial or relative position of an entity along or within a walkway.
-
B.
isWalkable
Indicates that an entity can be traversed on foot, typically without obstruction or restriction.
-
C.
hasWalkingRouteType
chosen
Indicates that an entity is associated with a specific type or category of walking route (e.g., trail, path, or walking itinerary).
-
D.
hasEmergencyWalkway
Indicates that there is a designated emergency walkway available or present between the related entities.
-
E.
hasWalkingPathAround
Indicates that one entity has a walking path that encircles or runs around another entity.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f32324c481908c9ba594e8456728 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.