Triple
T538727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deus sive Natura |
E12381
|
entity |
| Predicate | substanceType |
P16615
|
FINISHED |
| Object | infinite substance |
—
|
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: infinite substance | Statement: [Deus sive Natura, substanceType, infinite substance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: substanceType Context triple: [Deus sive Natura, substanceType, infinite substance]
-
A.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
-
B.
subunitType
Indicates that one entity is a specific kind or classification of subunit within the structure or composition of another entity.
-
C.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
toxinType
Indicates the specific kind or category of toxin associated with an entity.
-
E.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b51ff08190a39f4168fd9a7ddf |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49857e1148190aa782b82675cf0b5 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.