Triple
T11924026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meunier |
E283734
|
entity |
| Predicate | ripening |
P72820
|
FINISHED |
| Object | early |
—
|
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 | Statement: [Meunier, ripening, early]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ripening Context triple: [Meunier, ripening, early]
-
A.
ripeningTime
Indicates the period or duration required for something to become fully ripe or reach its mature, ready-to-use state.
-
B.
ripeningTimeRelative
chosen
Indicates the temporal relationship between this entity’s ripening period and a reference ripening period (e.g., earlier, later, or at the same time).
-
C.
maturesIn
Indicates that an entity reaches full development, ripeness, or maturity within a specified time period or under certain conditions.
-
D.
cheeseRipeningStyle
Indicates the method or process by which a cheese is matured or aged to develop its flavor and texture.
-
E.
maturity
Indicates that an entity has reached a specified stage of development, completeness, or readiness, often marking the point at which certain rights, obligations, or behaviors become applicable.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e2fc648190a446c1917db1c7d9 |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.