Triple
T592328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyannisport Club |
E17302
|
entity |
| Predicate | fairwaysType |
P12062
|
FINISHED |
| Object | bentgrass fairways |
—
|
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: bentgrass fairways | Statement: [Hyannisport Club, fairwaysType, bentgrass fairways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fairwaysType Context triple: [Hyannisport Club, fairwaysType, bentgrass fairways]
-
A.
fairwayType
chosen
Indicates the specific kind or classification of a fairway associated with an entity.
-
B.
hasGolfCourse
Indicates that one entity possesses, contains, or includes a golf course as part of its facilities or attributes.
-
C.
guidewayType
Indicates the specific kind or classification of guideway used in a transportation or movement system.
-
D.
fairingType
Indicates the specific kind or design category of a fairing used in a structure, vehicle, or assembly.
-
E.
parkType
Indicates the specific category or classification of a park based on its designated use, management, or characteristics.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bbaf53081908eed240bed09f63b |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cd7d3c8190af008acf34a2293b |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.