Triple
T9770400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | neutrino hypothesis |
E237108
|
entity |
| Predicate | concernsNucleus |
P90542
|
FINISHED |
| Object | beta-unstable nucleus |
—
|
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: beta-unstable nucleus | Statement: [neutrino hypothesis, concernsNucleus, beta-unstable nucleus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsNucleus Context triple: [neutrino hypothesis, concernsNucleus, beta-unstable nucleus]
-
A.
concernsProblem
Indicates that something is about, related to, or deals with a particular problem or issue.
-
B.
concernsFeature
Indicates that something is about, relates to, or involves a particular feature.
-
C.
concern
Indicates that one entity is about, relates to, or is of interest or importance to another entity.
-
D.
isNucleusOf
Indicates that one entity functions as the central or most important core component of another entity.
-
E.
targetConcern
Indicates that something is the specific issue, problem, or subject that is the focus of attention, action, or consideration.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f1dea08190b89bcc192b068c66 |
completed | April 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:26 p.m.