Triple
T8502530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plantation Preserve Golf Course & Club |
E201254
|
entity |
| Predicate | hasShortGameArea |
P83079
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Plantation Preserve Golf Course & Club, hasShortGameArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShortGameArea Context triple: [Plantation Preserve Golf Course & Club, hasShortGameArea, yes]
-
A.
hasPlayAreaType
Indicates the specific kind or category of play area associated with an entity (e.g., indoor, outdoor, playground type).
-
B.
hasSpectatorArea
Indicates that a location or facility includes a designated area intended for spectators to observe an event or activity.
-
C.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
D.
hasAreaRange
Indicates that something’s area falls within a specified minimum-to-maximum range.
-
E.
hasWalkthroughArea
Indicates that one entity includes or provides a designated area intended for walking through or passing along.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59c413881909513d8a9d52333c0 |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:14 p.m.