Triple
T32088491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory Park |
E819513
|
entity |
| Predicate | hasPerimeterFence |
P14204
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Victory Park, hasPerimeterFence, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerimeterFence Context triple: [Victory Park, hasPerimeterFence, yes]
-
A.
hasBorderWallOrFence
chosen
Indicates that a physical barrier such as a wall or fence exists along the border between two entities.
-
B.
fenceType
Indicates the specific kind or category of fence associated with or used in relation to an entity.
-
C.
hasSnowFenceInfrastructure
Indicates that there is infrastructure specifically installed or present to serve as a snow fence at the referenced location or object.
-
D.
fencePurpose
Indicates that a fence exists for a specific intended function or use, such as protection, separation, or containment.
-
E.
hasFrontYardFeature
Indicates that a property’s front yard includes or is characterized by a specific feature or element.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 12:25 a.m.