Triple
T29200684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yame |
E740261
|
entity |
| Predicate | teaReputation |
P166422
|
FINISHED |
| Object | one of Japan’s notable high-grade tea producing areas |
—
|
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 Japan’s notable high-grade tea producing areas | Statement: [Yame, teaReputation, one of Japan’s notable high-grade tea producing areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teaReputation Context triple: [Yame, teaReputation, one of Japan’s notable high-grade tea producing areas]
-
A.
collectionReputation
Indicates the perceived quality, trustworthiness, or status associated with a particular collection based on others’ evaluations or interactions.
-
B.
engineeringReputation
Indicates the perceived quality, credibility, or esteem of an entity’s engineering capabilities or output as judged by others.
-
C.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
D.
liveReputation
Indicates a dynamic, continuously updated assessment of an entity’s standing, trustworthiness, or performance based on recent or real-time information.
-
E.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f663c58d2081909091380f074097be |
completed | May 2, 2026, 8:51 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, 12:06 p.m.