Triple
T8392922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pu'er |
E197985
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Pu'er tea |
E197985
|
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: Pu'er tea | Statement: [Pu'er, namedAfter, Pu'er tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pu'er tea Context triple: [Pu'er, namedAfter, Pu'er tea]
-
A.
Lu’an Guapian tea
Lu’an Guapian tea is a famous Chinese green tea from Lu’an in Anhui Province, renowned for its flat, melon-seed-shaped leaves and rich, mellow flavor.
-
B.
Longjing tea
Longjing tea is a famous high-quality Chinese green tea, renowned for its flat, jade-green leaves and delicate, nutty flavor, traditionally produced near Hangzhou in Zhejiang province.
-
C.
Pu'er
chosen
Pu'er is a city in southwestern China best known as the namesake and historic production center of Pu'er tea.
-
D.
Keemun black tea
Keemun black tea is a renowned Chinese black tea variety prized for its rich, mellow flavor and aromatic, winey notes.
-
E.
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.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8184788081909e9857afff629985 |
completed | March 31, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde856a6548190b46e0d8e5cda381b |
completed | April 2, 2026, 3:53 a.m. |
Created at: March 30, 2026, 6:03 p.m.