Triple
T16301226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Park Brooklyn |
E395791
|
entity |
| Predicate | publicSpaceArea |
P51175
|
FINISHED |
| Object | several acres of open space |
—
|
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: several acres of open space | Statement: [Pacific Park Brooklyn, publicSpaceArea, several acres of open space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicSpaceArea Context triple: [Pacific Park Brooklyn, publicSpaceArea, several acres of open space]
-
A.
publicSpacesUsed
Indicates that certain public spaces are being utilized or occupied for a particular purpose or activity.
-
B.
standardArea
chosen
Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
-
C.
spaceType
Indicates the category or kind of physical or conceptual space associated with an entity.
-
D.
isOpenSpace
Indicates that a given area or location is an unobstructed, accessible space rather than an enclosed or confined one.
-
E.
openSpaceType
Indicates the type or category of an open space associated with an entity (e.g., park, plaza, courtyard).
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e32da7081908d8bd320374a5731 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.