Triple
T23298253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pilot-wave theory |
E590230
|
entity |
| Predicate | treatsParticlesAs |
P151762
|
FINISHED |
| Object | point-like objects |
—
|
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: point-like objects | Statement: [pilot-wave theory, treatsParticlesAs, point-like objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsParticlesAs Context triple: [pilot-wave theory, treatsParticlesAs, point-like objects]
-
A.
usedParticle
Indicates that one entity employs or applies a particular particle (e.g., subatomic, linguistic, or material) in some process, context, or construction involving another entity.
-
B.
associatedWithParticle
Indicates that an entity has a contextual or functional connection to a specific particle (such as a subatomic particle or grammatical particle).
-
C.
hasParticleType
Indicates that an entity is associated with, composed of, or characterized by a specific type or category of particle.
-
D.
concernsParticle
Indicates that something is about or relates specifically to a particular particle or type of particle.
-
E.
appearsAsFreeParticle
Indicates that an entity manifests or behaves as an unbound, free particle rather than being confined or interacting strongly with other entities.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d083188190abaae77dd4cf2bae |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:03 p.m.