Triple
T35995048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PGA Tour Tournament of Champions |
E1040957
|
entity |
| Predicate | fieldSizeCharacteristic |
P7759
|
FINISHED |
| Object | small field |
—
|
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: small field | Statement: [PGA Tour Tournament of Champions, fieldSizeCharacteristic, small field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldSizeCharacteristic Context triple: [PGA Tour Tournament of Champions, fieldSizeCharacteristic, small field]
-
A.
fieldSize
chosen
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
B.
dimensionCharacteristic
Indicates that one entity specifies or describes a dimensional property or measurement characteristic of another entity.
-
C.
maximumSizeCharacteristic
Indicates that there is an upper limit or maximum allowable size associated with the related entity or attribute.
-
D.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
E.
scaleCharacteristic
Indicates that one entity specifies or describes a measurable property or dimension (such as size, magnitude, or extent) used as the scale for evaluating or comparing another entity.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.