Triple
T8143365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divided Line |
E190148
|
entity |
| Predicate | associatesDianoiaWith |
P2830
|
FINISHED |
| Object | mathematical reasoning |
—
|
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: mathematical reasoning | Statement: [Divided Line, associatesDianoiaWith, mathematical reasoning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatesDianoiaWith Context triple: [Divided Line, associatesDianoiaWith, mathematical reasoning]
-
A.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
B.
notablyAssociatedWith
Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
-
C.
associatedWithGod
Indicates a relationship in which an entity is linked, related, or connected in some meaningful way to a god or deity.
-
D.
associatedCult
Indicates that an entity is connected or linked to a particular cult, typically through membership, affiliation, or influence.
-
E.
cosmicAssociation
Indicates a relationship in which entities are linked, connected, or correlated through cosmic or celestial factors, influences, or contexts.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4444bb248190beaaa2ce4b8f3eaa |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:36 p.m.