Triple
T22984471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K_L and muon detector |
E571565
|
entity |
| Predicate | roleInPhysicsAnalysis |
P150493
|
FINISHED |
| Object | flavor tagging |
—
|
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: flavor tagging | Statement: [K_L and muon detector, roleInPhysicsAnalysis, flavor tagging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInPhysicsAnalysis Context triple: [K_L and muon detector, roleInPhysicsAnalysis, flavor tagging]
-
A.
roleInAstrophysics
Indicates that an entity holds a specific professional, academic, or functional role within the field of astrophysics.
-
B.
roleInGeneralRelativity
Indicates the role, function, or significance an entity has within the framework, theory, or practice of general relativity.
-
C.
roleInResearch
Indicates that an entity participates in a research activity with a specified function, position, or responsibility within that research.
-
D.
roleInQuantumGravity
Indicates that an entity has a specific function, status, or contribution within the theoretical framework or research program of quantum gravity.
-
E.
roleInEinsteinSummation
Indicates the specific part or function an entity plays within an Einstein summation expression, such as which indices or terms it contributes to in the summation.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18298637c819086fca34d55bad22d |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:49 p.m.