Triple
T21989407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherenkov radiation |
E543043
|
entity |
| Predicate | isCoherent |
P146190
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cherenkov radiation, isCoherent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCoherent Context triple: [Cherenkov radiation, isCoherent, yes]
-
A.
isCoherentInCGS
Indicates that something maintains internal consistency or logical coherence within the CGS (centimeter–gram–second) unit system.
-
B.
typeOfCoherence
Indicates the specific kind or category of coherence that characterizes the relationship between the related elements.
-
C.
isCoherentSIUnit
Indicates that a unit is a valid, internally consistent unit within the International System of Units (SI), derived strictly from SI base units without additional numerical factors.
-
D.
isCoherentWithSI
Indicates that something is consistent and compatible with the International System of Units (SI), adhering to its definitions, conventions, and relationships among units.
-
E.
isCooperative
Indicates that an entity engages willingly and constructively in joint actions or relationships with others, working together toward shared goals.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270cb67c81909a3aa2dc61c1894f |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:05 p.m.