Triple
T16513703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lu’an Guapian tea |
E401125
|
entity |
| Predicate | primaryConsumptionForm |
P77624
|
FINISHED |
| Object | loose leaf tea |
—
|
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: loose leaf tea | Statement: [Lu’an Guapian tea, primaryConsumptionForm, loose leaf tea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryConsumptionForm Context triple: [Lu’an Guapian tea, primaryConsumptionForm, loose leaf tea]
-
A.
primaryConsumptionContext
Indicates the main situation, setting, or context in which something is typically used, consumed, or experienced.
-
B.
consumes
Indicates that one entity eats, drinks, or otherwise uses up another entity as a resource or nourishment.
-
C.
primaryCurrentUse
Indicates the main way something is currently being used or its principal present function.
-
D.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
E.
primaryHumanUse
chosen
Indicates the main way humans typically use, interact with, or benefit from the referenced 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e78d4848190a55de9902115b1b2 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.