Triple
T10222580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maithil Kavi Kokil |
E242616
|
entity |
| Predicate | eraOfFigure |
P92822
|
FINISHED |
| Object | 14th–15th century |
—
|
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: 14th–15th century | Statement: [Maithil Kavi Kokil, eraOfFigure, 14th–15th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfFigure Context triple: [Maithil Kavi Kokil, eraOfFigure, 14th–15th century]
-
A.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
-
B.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
C.
eraOfFame
Indicates the time period during which an entity was most widely recognized, influential, or prominent.
-
D.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
E.
typicalFigure
Indicates that one entity serves as a standard or representative example (a typical instance) of the other entity.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa8305e481908ee1fc1d9eda6fa0 |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
| PDg | Predicate description generation | batch_69d3aa208c248190a0fb186b106389f3 |
completed | April 6, 2026, 12:42 p.m. |
Created at: April 6, 2026, 11:10 a.m.