Triple
T13514814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pier 96 |
E322731
|
entity |
| Predicate | isWithinParkCategory |
P52905
|
FINISHED |
| Object | urban waterfront 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: urban waterfront park | Statement: [Pier 96, isWithinParkCategory, urban waterfront park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinParkCategory Context triple: [Pier 96, isWithinParkCategory, urban waterfront park]
-
A.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
B.
isWithinParkSystem
Indicates that one area, facility, or feature is located inside and belongs to a designated park system.
-
C.
hasTypeOfPark
chosen
Indicates that an entity is associated with or classified by a specific type or category of park.
-
D.
hasParkAccess
Indicates that an entity is permitted to enter, use, or otherwise access a specified park or park area.
-
E.
withinNationalPark
Indicates that one entity is located inside the geographic boundaries of a national park designated by another entity.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:44 p.m.