Triple
T13216068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crotona Park Lake |
E314618
|
entity |
| Predicate | isWithinParkSystem |
P108564
|
FINISHED |
| Object | New York City Parks system |
—
|
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: New York City Parks system | Statement: [Crotona Park Lake, isWithinParkSystem, New York City Parks system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinParkSystem Context triple: [Crotona Park Lake, isWithinParkSystem, New York City Parks system]
-
A.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
B.
hasParkDistrict
Indicates that an entity is associated with, located within, or administered by a specific park district.
-
C.
hasParkAccess
Indicates that an entity is permitted to enter, use, or otherwise access a specified park or park area.
-
D.
hasTypeOfPark
Indicates that an entity is associated with or classified by a specific type or category of park.
-
E.
withinNationalPark
Indicates that one entity is located inside the geographic boundaries of a national park designated by another entity.
- F. None of above. chosen
Provenance (4 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf28c9c819080d7b42d20f579d1 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:18 p.m.