Triple
T26615189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Branch, New Jersey |
E668038
|
entity |
| Predicate | isBeachDestination |
P87137
|
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: [Long Branch, New Jersey, isBeachDestination, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBeachDestination Context triple: [Long Branch, New Jersey, isBeachDestination, true]
-
A.
hasBeachDestination
Indicates that a place is a destination characterized by having a beach suitable for visits or recreation.
-
B.
isBeachTown
chosen
Indicates that a place is a town characterized by its location on or near a beach and its association with beach-related activities or environment.
-
C.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
D.
hasBeachCharacteristic
Indicates that something possesses a specific quality, feature, or attribute associated with a beach.
-
E.
isTypeOfBeach
Indicates that one entity is classified as a specific type or category of beach in relation to 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615abc1f08190ba73d4bccd1e3aca |
completed | May 2, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:18 a.m.