Triple
T28499680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hani cuisine |
E721198
|
entity |
| Predicate | seasonalAdaptation |
P31603
|
FINISHED |
| Object | use of fresh mountain vegetables in spring and summer |
—
|
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: use of fresh mountain vegetables in spring and summer | Statement: [Hani cuisine, seasonalAdaptation, use of fresh mountain vegetables in spring and summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalAdaptation Context triple: [Hani cuisine, seasonalAdaptation, use of fresh mountain vegetables in spring and summer]
-
A.
typicalVegetationAdaptation
Indicates the characteristic ways in which vegetation is adapted to the prevailing environmental conditions of a given area.
-
B.
hasSeasonalNature
chosen
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
-
C.
seasonCycle
Indicates a recurring pattern or sequence of seasons or seasonal phases that repeat over time.
-
D.
adaptation
Indicates a relationship where one entity changes or is modified to better suit, function within, or correspond to another entity or context.
-
E.
adaptationIn
Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 28, 2026, 3:06 a.m.