Triple
T5959043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W′ bosons |
E132588
|
entity |
| Predicate | massRelationToW |
P28911
|
FINISHED |
| Object | heavier than Standard Model W bosons |
—
|
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: heavier than Standard Model W bosons | Statement: [W′ bosons, massRelationToW, heavier than Standard Model W bosons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massRelationToW Context triple: [W′ bosons, massRelationToW, heavier than Standard Model W bosons]
-
A.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
B.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
-
C.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
D.
valueRelation
chosen
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
E.
relationToEarth
Indicates the spatial, physical, or conceptual relationship that something has with Earth as a reference point.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.