Triple
T13903137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longjing tea |
E334278
|
entity |
| Predicate | notableHarvestPeriod |
P8452
|
FINISHED |
| Object | pre-Qingming |
—
|
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: pre-Qingming | Statement: [Longjing tea, notableHarvestPeriod, pre-Qingming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHarvestPeriod Context triple: [Longjing tea, notableHarvestPeriod, pre-Qingming]
-
A.
notablePeriodOfAward
Indicates the specific time span or period during which an award is considered notable or was actively held or recognized.
-
B.
hasNotableRecordingPeriod
Indicates that an entity is associated with a specific time span during which notable recording activity took place.
-
C.
notableProductionYear
Indicates the year in which an entity produced something considered notable or significant.
-
D.
notableSeason
Indicates that a particular season is especially significant or noteworthy in relation to an entity (such as a person, team, or series).
-
E.
notableDuring
chosen
Indicates that something was especially prominent, active, or significant during a particular time period or event.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25db1e308190aaed6a21e443cc44 |
completed | April 14, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.