Triple
T11143259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Williamson Park |
E263607
|
entity |
| Predicate | hasChildrenPlayArea |
P50638
|
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: [Williamson Park, hasChildrenPlayArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildrenPlayArea Context triple: [Williamson Park, hasChildrenPlayArea, yes]
-
A.
hasPlayAreaType
Indicates the specific kind or category of play area associated with an entity (e.g., indoor, outdoor, playground type).
-
B.
hasChildrenArea
chosen
Indicates that an entity includes or is associated with a designated area intended for children.
-
C.
hasFamilyArea
Indicates a relationship where an entity possesses or includes a designated area intended for family use or family-related activities.
-
D.
hasRecreationalArea
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
-
E.
hasStandingArea
Indicates that an entity includes or provides a designated area where people can stand.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8623158819096ad1678fa9e72bb |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.