Triple
T2118510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sus scrofa |
E43861
|
entity |
| Predicate | maximumLifespanCaptivity |
P585
|
FINISHED |
| Object | 20 years |
—
|
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: 20 years | Statement: [Sus scrofa, maximumLifespanCaptivity, 20 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumLifespanCaptivity Context triple: [Sus scrofa, maximumLifespanCaptivity, 20 years]
-
A.
lifePeriod
Indicates the span of time during which an entity exists, is active, or is valid.
-
B.
reproductionInCaptivity
Indicates that an organism reproduces successfully while being kept in a controlled or captive environment rather than in the wild.
-
C.
maximumCarapaceLength
Indicates the greatest measured length of an organism’s carapace within the described context or dataset.
-
D.
lifespan
chosen
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
E.
largestLiving
Indicates that the subject is the largest currently living instance of a given type or within a specified group 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb3117c081908c5e748a869d1f9f |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.