Triple
T25838920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abingdon Square Park |
E650881
|
entity |
| Predicate | oneOfOldestParksIn |
P161669
|
FINISHED |
| Object | New York City |
—
|
NE NERFINISHED |
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 | Statement: [Abingdon Square Park, oneOfOldestParksIn, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfOldestParksIn Context triple: [Abingdon Square Park, oneOfOldestParksIn, New York City]
-
A.
isOldestPublicParkOf
Indicates that a park is the most ancient or earliest established public park within a specified area or among a defined set of parks.
-
B.
oneOfOldestStateParksIn
Indicates that a state park is among the oldest state parks located within a specified region or jurisdiction.
-
C.
oldestParkYearEstablished
Indicates the year in which the oldest park associated with a given entity was originally established.
-
D.
oneOfOldestNationalParksIn
Indicates that the subject is among the earliest-established national parks within the specified place or jurisdiction.
-
E.
isLargestParkOf
Indicates that a park is the largest park within a specified area, region, or administrative 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 22, 2026, 7:47 a.m.