Triple
T23270200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princeville Makai Golf Club |
E588265
|
entity |
| Predicate | hasScenicHole |
P114595
|
FINISHED |
| Object | par-3 7th hole |
—
|
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: par-3 7th hole | Statement: [Princeville Makai Golf Club, hasScenicHole, par-3 7th hole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScenicHole Context triple: [Princeville Makai Golf Club, hasScenicHole, par-3 7th hole]
-
A.
hasHoleShape
Indicates that an entity possesses a hole or opening characterized by a specific geometric or structural shape.
-
B.
hasHoleCount
Indicates that an entity possesses a specified number of holes.
-
C.
hasHoleVariety
chosen
Indicates that one entity possesses or exhibits a particular type or variety of hole.
-
D.
hasScenicAccessTo
Indicates that one place or object provides a visually appealing or notable view of another place or object.
-
E.
hasScenicValue
Indicates that something possesses notable aesthetic or visual appeal, often due to its natural beauty or pleasing surroundings.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957324bc8190b8b53d4b18386151 |
completed | April 29, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:45 p.m.