Triple
T29775402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paku |
E755363
|
entity |
| Predicate | isLessDocumented |
P18402
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Paku, isLessDocumented, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLessDocumented Context triple: [Paku, isLessDocumented, true]
-
A.
hasLimitedDocumentation
chosen
Indicates that the subject is associated with documentation that is sparse, incomplete, or not sufficiently detailed.
-
B.
notWellDocumented
Indicates that the subject lacks sufficient, clear, or comprehensive documentation.
-
C.
isLessTechnicalThan
Indicates that one entity possesses a lower level of technical complexity, expertise, or detail compared to another entity.
-
D.
isLesserKnown
Indicates that one entity is less widely recognized, famous, or familiar than another comparable entity.
-
E.
isWidelyDocumented
Indicates that extensive and accessible documentation or records exist about the subject across multiple reputable sources.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6746562e88190ac9a86732b648627 |
completed | May 2, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 8:45 p.m.