Triple
T16182937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pāʻia |
E392728
|
entity |
| Predicate | hasKitesurfingBeaches |
P122044
|
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: [Pāʻia, hasKitesurfingBeaches, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKitesurfingBeaches Context triple: [Pāʻia, hasKitesurfingBeaches, true]
-
A.
hasSurfBreak
Indicates a relationship where a location or area contains or is associated with a specific surf break suitable for surfing.
-
B.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
C.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
D.
hasDiveResorts
Indicates that an entity possesses or is associated with one or more dive resorts.
-
E.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.