Triple
T1096103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z boson |
E24274
|
entity |
| Predicate | belongsToInteraction |
P23067
|
FINISHED |
| Object | electroweak interaction |
—
|
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: electroweak interaction | Statement: [Z boson, belongsToInteraction, electroweak interaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToInteraction Context triple: [Z boson, belongsToInteraction, electroweak interaction]
-
A.
belongsToProgram
Indicates that an entity is a member of, or is associated with, a specific program.
-
B.
supportsRelation
Indicates that one entity provides assistance, endorsement, or structural backing to another entity or its activity.
-
C.
participatingAssociations
Indicates that certain associations are involved as participants in a given activity, event, or relationship.
-
D.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
E.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.