Triple
T2142208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaujolais |
E46782
|
entity |
| Predicate | grapeHarvestPeriod |
P24490
|
FINISHED |
| Object | early to mid-September (typical) |
—
|
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: early to mid-September (typical) | Statement: [Beaujolais, grapeHarvestPeriod, early to mid-September (typical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeHarvestPeriod Context triple: [Beaujolais, grapeHarvestPeriod, early to mid-September (typical)]
-
A.
fruitingSeason
chosen
Indicates the time period during which a plant produces mature, harvestable fruits.
-
B.
grapeColorProduced
Indicates the color that is produced by or characteristic of a given grape.
-
C.
ripeningTime
Indicates the period or duration required for something to become fully ripe or reach its mature, ready-to-use state.
-
D.
producesWine
Indicates that one entity creates or manufactures wine as a product.
-
E.
usesGrapeType
Indicates that one entity employs or incorporates a specific type or variety of grape in its composition, production, or process.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbeaa14bc81908486683decd7ae42 |
completed | March 7, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_69abbd9846e88190b6c2941dd9ce7749 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.