Triple
T6163621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TPC Craig Ranch |
E137501
|
entity |
| Predicate | hasTeeBoxes |
P69152
|
FINISHED |
| Object | multiple tee boxes per hole |
—
|
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: multiple tee boxes per hole | Statement: [TPC Craig Ranch, hasTeeBoxes, multiple tee boxes per hole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeeBoxes Context triple: [TPC Craig Ranch, hasTeeBoxes, multiple tee boxes per hole]
-
A.
hasTeeType
Indicates that an entity (typically a golf hole or course) is associated with a specific type or category of tee.
-
B.
estimatedTeaWeight
Indicates the quantified amount of tea that is approximated or predicted in weight rather than precisely measured.
-
C.
teaType
Indicates the specific variety or category of tea associated with an entity.
-
D.
numberOfCups
Indicates the quantity of cups associated with a given entity or context.
-
E.
hasCafes
Indicates that one entity possesses, contains, or includes one or more cafes within it.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d5e8edc8190a7a394ee832bac9f |
completed | March 22, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:17 p.m.