Triple
T20567478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dharmaguptaka Vinaya |
E505000
|
entity |
| Predicate | timeOfTranslation |
P128414
|
FINISHED |
| Object | 4th 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: 4th century | Statement: [Dharmaguptaka Vinaya, timeOfTranslation, 4th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfTranslation Context triple: [Dharmaguptaka Vinaya, timeOfTranslation, 4th century]
-
A.
dateOfTranslation
Indicates the specific date on which a translation of a work or text was completed or officially produced.
-
B.
timeDisplacedTo
Indicates that one entity has been moved or transported from its original temporal position to a different point in time relative to another entity or reference time.
-
C.
eraOfTranslation
chosen
Indicates the historical period or era during which a given work was translated.
-
D.
timeEquivalentOf
Indicates that two temporal entities represent the same point in time or duration, possibly expressed in different formats or units.
-
E.
timeInterpretation
Indicates how a given temporal expression or event should be understood or interpreted in terms of time (e.g., its reference point, scope, or temporal role).
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a33f7c8190966da03528dfe8aa |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.