Triple
T32425147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Black |
E828556
|
entity |
| Predicate | typicalSlaughterAge |
P174065
|
FINISHED |
| Object | around 28–32 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: around 28–32 months | Statement: [Japanese Black, typicalSlaughterAge, around 28–32 months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSlaughterAge Context triple: [Japanese Black, typicalSlaughterAge, around 28–32 months]
-
A.
butcheringAge
chosen
Indicates the age at which an animal is slaughtered for meat.
-
B.
sacrificeAnimalType
Indicates that an entity performs or is involved in the act of sacrificing an animal of a specified type.
-
C.
reproductiveMaturityAge
Indicates the age at which an organism reaches reproductive maturity and can successfully reproduce.
-
D.
typicalAge
Indicates the usual or characteristic age associated with an entity, event, or condition.
-
E.
sacrificedAnimal
Indicates that one entity killed or offered an animal as a sacrifice, typically for a ritual, religious, or ceremonial purpose, in relation to another entity or context.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:54 a.m.