Triple
T23982485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | greater coat of arms of the Czech Republic |
E604543
|
entity |
| Predicate | firstQuarterFeatures |
P80690
|
FINISHED |
| Object | Bohemian lion |
—
|
NE NERFINISHED |
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: Bohemian lion | Statement: [greater coat of arms of the Czech Republic, firstQuarterFeatures, Bohemian lion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstQuarterFeatures Context triple: [greater coat of arms of the Czech Republic, firstQuarterFeatures, Bohemian lion]
-
A.
firstQuarter
Indicates that an event, state, or condition occurs during the first quarter of a defined time period (such as a year or fiscal year).
-
B.
firstQuarterRepresents
Indicates that the first quarter (Q1) is used as a representative or reference period/value for something, such as performance, measurement, or categorization.
-
C.
firstAndFourthQuarters
Indicates that the relationship or action involves the first and fourth quarters of a defined period (such as a fiscal or calendar year).
-
D.
firstToFeature
Indicates that one entity was the earliest or initial subject to exhibit, include, or present another entity in a given context.
-
E.
featuresIn
chosen
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2bf02fc8190bebd59f149e0bbfc |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:29 p.m.