Triple
T3955144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangshan Maofeng tea |
E84957
|
entity |
| Predicate | oxidationLevel |
P53107
|
FINISHED |
| Object | low |
—
|
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: low | Statement: [Huangshan Maofeng tea, oxidationLevel, low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oxidationLevel Context triple: [Huangshan Maofeng tea, oxidationLevel, low]
-
A.
oxidationStates
Indicates the specific oxidation numbers assigned to an element or atom within a chemical species, reflecting its electron loss or gain state in that context.
-
B.
secondaryOxidationStateInSolution
Indicates the oxidation state an element or species commonly adopts as a secondary (non-primary) state when dissolved in a given solution.
-
C.
oxidizer
Indicates a relationship where one entity acts as an oxidizing agent that accepts electrons from, or promotes the oxidation of, another entity in a chemical process.
-
D.
predominantOxidationStateInSolution
Indicates the oxidation state that a chemical species most commonly or primarily adopts when present in a given solution.
-
E.
acidityLevel
Indicates the degree or intensity of acidity associated with an entity, typically measured by pH or a comparable scale.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefaa3c6a08190bfe76629c7c98eea |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:30 p.m.