Triple
T29918331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temescal Alley |
E759851
|
entity |
| Predicate | hasWalkingEnvironment |
P83965
|
FINISHED |
| Object | narrow alleyway |
—
|
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: narrow alleyway | Statement: [Temescal Alley, hasWalkingEnvironment, narrow alleyway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWalkingEnvironment Context triple: [Temescal Alley, hasWalkingEnvironment, narrow alleyway]
-
A.
hasWalkingPathAround
Indicates that one entity has a walking path that encircles or runs around another entity.
-
B.
hasWalkingAllowed
Indicates that walking is permitted within or across the referenced area or context.
-
C.
hasWalkingRouteType
Indicates that an entity is associated with a specific type or category of walking route (e.g., trail, path, or walking itinerary).
-
D.
hasPedestrianEnvironment
chosen
Indicates that a location or area provides facilities, conditions, or features suitable for pedestrian use and movement.
-
E.
hasWalkingRouteConnection
Indicates that there is a walkable path or route directly connecting two locations.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 29, 2026, 6:13 p.m.