Triple
T27607046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Park pedestrian circulation system |
E700208
|
entity |
| Predicate | includesSurfaceType |
P1242
|
FINISHED |
| Object | asphalt |
—
|
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: asphalt | Statement: [Central Park pedestrian circulation system, includesSurfaceType, asphalt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSurfaceType Context triple: [Central Park pedestrian circulation system, includesSurfaceType, asphalt]
-
A.
surfaceType
chosen
Indicates the kind or classification of surface associated with an entity or interaction.
-
B.
hasSurfaceLevel
Indicates that one entity possesses or is characterized by a particular degree or measure of surface level (e.g., depth, detail, or superficiality).
-
C.
hasSurfaceUse
Indicates that something is used or intended to be used on a surface (e.g., applied to, covering, or interacting with a surface).
-
D.
isSurfaceSensitive
Indicates that the property, behavior, or measurement depends strongly on the characteristics or condition of a surface rather than the bulk material.
-
E.
replacedSurfaceType
Indicates that one surface type has been substituted or changed to another surface type.
- 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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: April 27, 2026, 2:10 p.m.