Triple
T4165692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formula of Autonomy |
E84439
|
entity |
| Predicate | groundsIn |
P9529
|
FINISHED |
| Object | rational agency |
—
|
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 agency | Statement: [Formula of Autonomy, groundsIn, rational agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groundsIn Context triple: [Formula of Autonomy, groundsIn, rational agency]
-
A.
listsGrounds
chosen
Indicates that one entity enumerates or specifies the reasons, bases, or justifications (grounds) associated with another entity.
-
B.
homeGroundType
Indicates the type or category of venue that serves as an entity’s designated home ground.
-
C.
coversGrounds
Indicates that one entity extends over, occupies, or lies across the surface area of another entity (typically land or grounds).
-
D.
ground
Indicates that one entity is in contact with or supported by the ground or a ground-like surface.
-
E.
land
Indicates coming down from the air or a higher position to make contact with and settle on a surface.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02ac8e788190a8f3563a2903bbad |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.