Triple
T33242759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wood Island Park |
E851010
|
entity |
| Predicate | wasPopularFor |
P104046
|
FINISHED |
| Object | swimming |
—
|
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: swimming | Statement: [Wood Island Park, wasPopularFor, swimming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPopularFor Context triple: [Wood Island Park, wasPopularFor, swimming]
-
A.
wasPopularBefore
Indicates that one entity enjoyed a higher level of popularity than another during an earlier time period.
-
B.
achievedPopularityVia
Indicates that an entity gained recognition or widespread acceptance through a particular method, channel, or means.
-
C.
achievedPopularityIn
Indicates that an entity became popular or widely recognized within a specified place, group, or context.
-
D.
isPopularAs
chosen
Indicates that an entity is widely liked, well-known, or favored in a particular role, context, or capacity.
-
E.
hasEnduringPopularityOn
Indicates that something continues to be widely liked, used, or appreciated on a particular platform, medium, or context over an extended period of time.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:31 a.m.