Triple
T27078206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishio |
E685519
|
entity |
| Predicate | hasTeaBrandReputation |
P73564
|
FINISHED |
| Object | high-quality matcha |
—
|
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: high-quality matcha | Statement: [Nishio, hasTeaBrandReputation, high-quality matcha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeaBrandReputation Context triple: [Nishio, hasTeaBrandReputation, high-quality matcha]
-
A.
hasBrandReputation
chosen
Indicates that an entity possesses a certain level or type of perceived quality, trustworthiness, or public image associated with its brand.
-
B.
teaBrand
Indicates that one entity is a brand or producer associated with a particular type or product line of tea for the other entity.
-
C.
teaReputation
Indicates the perceived quality, status, or esteem associated with a particular tea or tea-related source.
-
D.
usesBrandReputationOf
Indicates that one entity leverages or capitalizes on the brand reputation of another entity for its own purposes.
-
E.
isTeaNameOf
Indicates that one entity is the name or designation of a particular type or variety of tea for 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 8:32 a.m.