Triple
T12137236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corny Point |
E289089
|
entity |
| Predicate | isSurfingDestination |
P22583
|
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: [Corny Point, isSurfingDestination, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSurfingDestination Context triple: [Corny Point, isSurfingDestination, true]
-
A.
hasSurfBreak
chosen
Indicates a relationship where a location or area contains or is associated with a specific surf break suitable for surfing.
-
B.
hasSurfSchool
Indicates that a location or entity hosts, operates, or contains a surf school.
-
C.
isBeachTown
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.
-
D.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
E.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.