Triple
T24935922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glico Curry |
E623311
|
entity |
| Predicate | preparationTimeContribution |
P157800
|
FINISHED |
| Object | reduces curry cooking time |
—
|
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: reduces curry cooking time | Statement: [Glico Curry, preparationTimeContribution, reduces curry cooking time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preparationTimeContribution Context triple: [Glico Curry, preparationTimeContribution, reduces curry cooking time]
-
A.
typicalCookingTime
Indicates the usual duration required to cook something under standard or commonly accepted conditions.
-
B.
preparationPeriod
Indicates the time span allocated before an event or action during which necessary preparations are made.
-
C.
preparationBy
Indicates that one entity is created, assembled, or made ready through the actions or processes performed by another entity.
-
D.
preparationInvolved
Indicates that a particular preparation, process, or setup is involved in enabling or carrying out an action, event, or relationship.
-
E.
recommendedPreparation
Indicates that one entity is suggested or advised as a suitable preparation or prerequisite for engaging with another entity.
- F. None of above. chosen
Provenance (4 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 5:30 a.m.