Triple
T33108091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capilay Spring Park |
E847246
|
entity |
| Predicate | hasPoolSections |
P57709
|
FINISHED |
| Object | shallow area |
—
|
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: shallow area | Statement: [Capilay Spring Park, hasPoolSections, shallow area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoolSections Context triple: [Capilay Spring Park, hasPoolSections, shallow area]
-
A.
hasPlungePool
Indicates that something (typically a waterfall or similar feature) possesses or is associated with a plunge pool, the deep basin formed where falling water impacts and erodes the ground below.
-
B.
hasSwimmingPool
Indicates that the subject possesses or includes a swimming pool as one of its features.
-
C.
hasSwimmingAreaType
Indicates that an entity’s swimming area is classified as a specific type or category (e.g., indoor pool, open water, designated beach zone).
-
D.
hasParkSection
chosen
Indicates that one entity includes, contains, or is associated with a specific section or area of a park.
-
E.
hasOutdoorSection
Indicates that something includes or is associated with a designated area located outdoors.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: May 1, 2026, 1:26 a.m.