Triple
T34166999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La France pears |
E876438
|
entity |
| Predicate | harvestSeasonInJapan |
P164387
|
FINISHED |
| Object | autumn |
—
|
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: autumn | Statement: [La France pears, harvestSeasonInJapan, autumn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: harvestSeasonInJapan Context triple: [La France pears, harvestSeasonInJapan, autumn]
-
A.
harvestTiming
chosen
Indicates the point in time or period when a crop or resource is collected or harvested.
-
B.
isTypicallyHarvested
Indicates that an entity is commonly gathered or collected, usually at a particular time or stage, for use or consumption.
-
C.
harvestFestival
Indicates a relationship where a community or group holds a celebratory event or ritual to mark and give thanks for the gathering of crops or agricultural produce.
-
D.
harvestPart
Indicates that one entity is a component or portion that is removed or collected from another entity during a harvesting process.
-
E.
sowingSeason
Indicates the time period during which a particular crop is typically planted or sown.
- 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fdfb02481908656f80d4f801ddf |
completed | May 3, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.