Triple
T4151415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Forest ham |
E89913
|
entity |
| Predicate | typicalCuringTime |
P42200
|
FINISHED |
| Object | several weeks |
—
|
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: several weeks | Statement: [Black Forest ham, typicalCuringTime, several weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCuringTime Context triple: [Black Forest ham, typicalCuringTime, several weeks]
-
A.
typicalAgingTime
Indicates the usual duration required for something to age or mature under normal conditions.
-
B.
typicalCompletionTimeInWeeks
chosen
Indicates the usual number of weeks it takes to complete the associated task, process, or activity.
-
C.
typicalCookingTime
Indicates the usual duration required to cook something under standard or commonly accepted conditions.
-
D.
timeToComplete
Indicates the duration required for an entity or process to be fully completed.
-
E.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018c101081909070da5b11e5eb3d |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.