Triple
T18987922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ship Bottom, New Jersey |
E464603
|
entity |
| Predicate | isPopularSummerResort |
P37588
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ship Bottom, New Jersey, isPopularSummerResort, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPopularSummerResort Context triple: [Ship Bottom, New Jersey, isPopularSummerResort, true]
-
A.
hasPopularResort
Indicates that a location or area contains or is associated with a resort that is widely visited or well-liked.
-
B.
isResortTown
chosen
Indicates that a town functions primarily as a resort destination, typically focused on tourism, leisure, and vacation activities.
-
C.
isResortDestinationFor
Indicates that a place serves as a resort destination specifically intended for or frequented by a particular person, group, or entity.
-
D.
isSeasideResort
Indicates that a place functions as a resort located by the sea, typically offering coastal leisure and tourism activities.
-
E.
isResortCityOn
Indicates that a city, characterized as a resort destination, is located on or directly adjacent to a specified geographic feature (such as a coast, lake, or mountain range).
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6618ab881909c0ed94930e42e68 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.