Triple
T14506055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orch-OR theory of consciousness |
E340265
|
entity |
| Predicate | positsLocationOfQuantumProcesses |
P22089
|
FINISHED |
| Object | neuronal microtubules |
—
|
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: neuronal microtubules | Statement: [Orch-OR theory of consciousness, positsLocationOfQuantumProcesses, neuronal microtubules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positsLocationOfQuantumProcesses Context triple: [Orch-OR theory of consciousness, positsLocationOfQuantumProcesses, neuronal microtubules]
-
A.
isQuantumOf
Indicates that one entity represents a discrete, indivisible unit or packet of the other entity in a quantized relationship.
-
B.
positionOnSubstance
Indicates that one entity is located on the surface of, or supported by, another entity that is treated as a substance or material.
-
C.
quantifies
Indicates that one entity expresses or specifies the amount, number, or degree of another entity.
-
D.
situates
chosen
Indicates that one entity places or locates another entity within a particular spatial, contextual, or conceptual setting.
-
E.
positionOnSpending
Indicates a stance or viewpoint an entity holds regarding levels or patterns of spending, such as how much should be spent and on what.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e25a2481908b8394e9a19f3b64 |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.