Triple
T192784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z boson |
E3755
|
entity |
| Predicate | decayMode |
P5370
|
FINISHED |
| Object | lepton-antilepton pairs |
—
|
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: lepton-antilepton pairs | Statement: [Z boson, decayMode, lepton-antilepton pairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decayMode Context triple: [Z boson, decayMode, lepton-antilepton pairs]
-
A.
decides
Indicates that an entity makes a choice or determination between options, often resolving uncertainty or selecting a course of action.
-
B.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
C.
fault
Indicates that one entity is responsible or at blame for a problem, error, or undesirable outcome involving another entity or situation.
-
D.
variant
Indicates that one entity is an alternative form, version, or variation of another entity.
-
E.
depth
Indicates the vertical distance from a reference surface or top point down to a lower point or bottom within a medium or space.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a2567567508190b3a41329a15c7156 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a25710bdfc81909b6697159104cf53 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.