Triple
T32716285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BOH Tea Plantation |
E836528
|
entity |
| Predicate | hasTeaBrand |
P86675
|
FINISHED |
| Object | BOH Tea |
—
|
NE NERFINISHED |
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: BOH Tea | Statement: [BOH Tea Plantation, hasTeaBrand, BOH Tea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeaBrand Context triple: [BOH Tea Plantation, hasTeaBrand, BOH Tea]
-
A.
teaBrand
chosen
Indicates that one entity is a brand or producer associated with a particular type or product line of tea for the other entity.
-
B.
hasTeeType
Indicates that an entity (typically a golf hole or course) is associated with a specific type or category of tee.
-
C.
hasTeaGardens
Indicates that one entity possesses, contains, or includes tea gardens as part of its attributes or domain.
-
D.
hasTeeBoxes
Indicates that a golf course or hole is equipped with one or more tee boxes from which players begin play.
-
E.
hasBeverageProduct
Indicates that one entity possesses, offers, or is associated with a particular beverage product.
- 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: May 1, 2026, 1:11 a.m.