Triple
T16635031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qimen County |
E404176
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Keemun black tea |
E87033
|
NE 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: Keemun black tea | Statement: [Qimen County, knownFor, Keemun black tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keemun black tea Context triple: [Qimen County, knownFor, Keemun black tea]
-
A.
Keemun black tea
chosen
Keemun black tea is a renowned Chinese black tea variety prized for its rich, mellow flavor and aromatic, winey notes.
-
B.
Darjeeling tea
Darjeeling tea is a highly prized, aromatic black tea from the Himalayan foothills, celebrated for its delicate flavor, floral notes, and status as the “champagne of teas.”
-
C.
Kangra tea
Kangra tea is a distinctive variety of Indian tea from the Himalayan region of Himachal Pradesh, prized for its delicate flavor and aromatic quality.
-
D.
Nilgiri tea
Nilgiri tea is a fragrant, brisk black tea from India’s Nilgiri Hills, valued for its bright liquor and smooth, aromatic flavor.
-
E.
Assam tea
Assam tea is a robust, malty black tea variety grown in India’s northeastern Assam region, renowned worldwide for its strong flavor and use in breakfast blends like English and Irish Breakfast tea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e8a76c8190bf08e6f6dec63c50 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b984d081909f76ef874431ff40 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.