Triple
T95287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W boson |
E1916
|
entity |
| Predicate | isFundamental |
P3979
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [W boson, isFundamental, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFundamental Context triple: [W boson, isFundamental, true]
-
A.
hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
-
B.
isMainLibraryOf
Indicates that a library serves as the primary or central library for a given organization, system, or collection.
-
C.
isBackboneOf
Indicates that one entity forms the main supporting structure or central framework upon which another entity fundamentally depends.
-
D.
isBaseFor
Indicates that one entity serves as the foundational support, starting point, or underlying basis upon which another entity is built, developed, or depends.
-
E.
isGradeOf
Indicates that one entity is the grade or evaluation assigned to another entity, such as a student, assignment, or performance.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebb3da08190a8b82564f33cde3b |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a24fed6b8c819080a6c0cd3b16e6bd |
completed | Feb. 28, 2026, 2:16 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.