Triple
T37179368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Del Valle Park |
E921149
|
entity |
| Predicate | hasTypeOfPlayground |
P74153
|
FINISHED |
| Object | children's playground |
—
|
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: children's playground | Statement: [Del Valle Park, hasTypeOfPlayground, children's playground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfPlayground Context triple: [Del Valle Park, hasTypeOfPlayground, children's playground]
-
A.
hasPlayAreaType
chosen
Indicates the specific kind or category of play area associated with an entity (e.g., indoor, outdoor, playground type).
-
B.
hasPlayType
Indicates the type or category of play associated with an event, action, or performance.
-
C.
hasTypeOfPark
Indicates that an entity is associated with or classified by a specific type or category of park.
-
D.
hasTypeOfPlayers
Indicates that an entity is associated with a specific category or kind of players involved in it.
-
E.
hasBenchType
Indicates that an entity is associated with or characterized by a specific type or category of bench.
- 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffc704e1e88190884928a6a5c55a87 |
completed | May 9, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69ffc6b483d881908ad872e25fa6abc5 |
completed | May 9, 2026, 11:43 p.m. |
Created at: May 3, 2026, 4:15 p.m.