Triple
T4082986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gramercy |
E87520
|
entity |
| Predicate | hasTypeOfPark |
P52905
|
FINISHED |
| Object | key-locked private park |
—
|
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: key-locked private park | Statement: [Gramercy, hasTypeOfPark, key-locked private park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfPark Context triple: [Gramercy, hasTypeOfPark, key-locked private park]
-
A.
hasParks
Indicates that one entity possesses, contains, or is associated with one or more parks.
-
B.
hasParkArea
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
-
C.
hasParkStatus
Indicates that an entity holds a particular designation or status related to being a park (e.g., national park, city park, protected parkland).
-
D.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
E.
hasParkDistrict
Indicates that an entity is associated with, located within, or administered by a specific park district.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7933b481909bb3e02c6c04c8ee |
completed | March 9, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9b34dec81909bbc3def9decc71a |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:39 p.m.