Triple
T36211538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earlsferry Links |
E1047564
|
entity |
| Predicate | hasApproximateNumberOfHoles |
P196262
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Earlsferry Links, hasApproximateNumberOfHoles, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfHoles Context triple: [Earlsferry Links, hasApproximateNumberOfHoles, 18]
-
A.
hasHoleCount
Indicates that an entity possesses a specified number of holes.
-
B.
numberOfHoles
Indicates the count of holes associated with or present in a given entity.
-
C.
hasHoleShape
Indicates that an entity possesses a hole or opening characterized by a specific geometric or structural shape.
-
D.
hasOutOfBoundsOnManyHoles
Indicates that an entity (such as a golf course) features out-of-bounds areas on a large number of its holes.
-
E.
hasApproximateNumberOfPieces
Indicates that an entity is associated with an estimated or non-exact count of pieces or components.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fe189f2ea48190b8c4718f1353970e |
completed | May 8, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4:09 p.m.