Triple
T38192775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nairn Golf Club |
E1005516
|
entity |
| Predicate | greenComplexes |
P190579
|
FINISHED |
| Object | elevated greens |
—
|
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: elevated greens | Statement: [Nairn Golf Club, greenComplexes, elevated greens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: greenComplexes Context triple: [Nairn Golf Club, greenComplexes, elevated greens]
-
A.
greenRepresents
Indicates that one entity uses the color green to symbolize, denote, or stand for another entity or concept.
-
B.
featuresComplexCompositions
Indicates that the subject includes or presents compositions that are intricate, multi-layered, or structurally sophisticated.
-
C.
leafComplexity
Indicates the degree of division or elaboration in a leaf’s structure, such as whether it is simple, lobed, or compound.
-
D.
greensGrass
Indicates that an entity (typically an animal) feeds on or consumes grass as its primary or regular food source.
-
E.
hasComplexification
Indicates that one entity is a more complex or elaborated version, form, or development of another entity.
- 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_69f76dbd22f48190940318cea061e8bb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:29 p.m.