Triple
T8689035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayonne ham |
E206237
|
entity |
| Predicate | agingTimeTypical |
P53135
|
FINISHED |
| Object | 9 to 12 months |
—
|
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: 9 to 12 months | Statement: [Bayonne ham, agingTimeTypical, 9 to 12 months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingTimeTypical Context triple: [Bayonne ham, agingTimeTypical, 9 to 12 months]
-
A.
agingTimeMinimum
Indicates the minimum amount of time that must elapse for something to be considered aged or matured according to a specified standard.
-
B.
agingTimeMaximum
Indicates the maximum duration for which something is allowed or expected to age before it is considered expired, mature, or no longer valid.
-
C.
typicalAgingTime
chosen
Indicates the usual duration required for something to age or mature under normal conditions.
-
D.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
endTimeApproximate
Indicates that the recorded end time of an event or action is not exact but an approximate value.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc57334b0c8190903a5a1784e74791 |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.