Triple
T10034525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | para-men |
E204930
|
entity |
| Predicate | triadFunction |
P92026
|
FINISHED |
| Object | Rational member provides intellect and logic |
—
|
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: Rational member provides intellect and logic | Statement: [para-men, triadFunction, Rational member provides intellect and logic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triadFunction Context triple: [para-men, triadFunction, Rational member provides intellect and logic]
-
A.
triadMemberWith
Indicates a relationship where an entity is a member of a specific triad together with two other associated entities.
-
B.
trioKey
Indicates a relationship where three entities are jointly associated or grouped together as a single combined key or identifying unit.
-
C.
traditionalFunction
Indicates that an entity serves a customary or historically established role or purpose within a cultural or social context.
-
D.
triples
Indicates that one entity performs or achieves something three times or increases another entity to three times its original amount.
-
E.
hasTriangle
Indicates that an entity possesses, contains, or is associated with a triangle.
- F. None of above. chosen
Provenance (4 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce490ff08190963d841b05d150a7 |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 8:54 p.m.