Triple
T5766887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K-short |
E127236
|
entity |
| Predicate | isShortLivedRelativeTo |
P34871
|
FINISHED |
| Object | K-long |
—
|
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: K-long | Statement: [K-short, isShortLivedRelativeTo, K-long]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShortLivedRelativeTo Context triple: [K-short, isShortLivedRelativeTo, K-long]
-
A.
isShortLived
Indicates that an entity exists or remains in a particular state for only a brief or limited period of time.
-
B.
hasMeanLifetime
Indicates the characteristic average time duration for which an entity, state, or condition persists before it decays, ends, or changes.
-
C.
hasRelativeAge
Indicates that one entity has an age that is defined or compared in relation to the age of another entity.
-
D.
isShort
chosen
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
E.
isTemporary
Indicates that the relationship, state, or condition holds only for a limited or non-permanent duration.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.