Triple
T26204231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pebble Beach Golf Links |
E655316
|
entity |
| Predicate | greenFeeCategory |
P97176
|
FINISHED |
| Object | one of the most expensive in the world |
—
|
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: one of the most expensive in the world | Statement: [Pebble Beach Golf Links, greenFeeCategory, one of the most expensive in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: greenFeeCategory Context triple: [Pebble Beach Golf Links, greenFeeCategory, one of the most expensive in the world]
-
A.
greenFeeLevel
chosen
Indicates the pricing tier or cost level associated with a green fee for using a golf course.
-
B.
feeType
Indicates the specific category or classification of a fee associated with a transaction, service, or obligation.
-
C.
greenUsedFor
Indicates that something green serves a particular purpose or function for something else.
-
D.
chargesFeeFor
Indicates that one entity requires payment of a fee from another entity in exchange for a specific service, product, or privilege.
-
E.
colorCharge
Indicates a relationship where an entity possesses a specific quantum color charge (such as red, green, or blue) in the context of strong nuclear interactions.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60cdd664c8190862fe9543ab251c9 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:50 p.m.