Triple
T38647341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitehead’s categoreal scheme |
E938753
|
entity |
| Predicate | statusInWhitehead |
P201827
|
FINISHED |
| Object | foundation of his mature metaphysics |
—
|
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: foundation of his mature metaphysics | Statement: [Whitehead’s categoreal scheme, statusInWhitehead, foundation of his mature metaphysics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInWhitehead Context triple: [Whitehead’s categoreal scheme, statusInWhitehead, foundation of his mature metaphysics]
-
A.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
B.
statusIncludes
Indicates that one entity’s status set contains or encompasses the status (or statuses) of another entity.
-
C.
statusInLogic
Indicates the logical status or role an entity holds within a formal reasoning or inference context.
-
D.
statusInSI
Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
-
E.
statusInAPA
Indicates the status or standing that one entity holds within, or as defined by, the APA (American Psychological Association) context.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00262d71488190a769783fb09e5803 |
completed | May 10, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_6a0023985f148190a335a3fb93e9981e |
completed | May 10, 2026, 6:20 a.m. |
| PDg | Predicate description generation | batch_6a00262cc9408190b95076a2d3da057d |
completed | May 10, 2026, 6:31 a.m. |
Created at: May 3, 2026, 4:32 p.m.