Triple
T22215700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahavamsa |
E549068
|
entity |
| Predicate | earliestEventsDescribed |
P115640
|
FINISHED |
| Object | time of the Buddha |
—
|
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: time of the Buddha | Statement: [Mahavamsa, earliestEventsDescribed, time of the Buddha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestEventsDescribed Context triple: [Mahavamsa, earliestEventsDescribed, time of the Buddha]
-
A.
earliestOfficialHistoriesOf
Indicates that one entity is the earliest known official historical account or record documenting the other entity.
-
B.
earliestKnownPeriod
Indicates the earliest historical or temporal period in which the subject is known or documented to have existed, occurred, or been relevant.
-
C.
historicalEventsDescribed
chosen
Indicates that one entity (such as a document, text, or account) describes or recounts the historical events associated with another entity.
-
D.
earliestFindsDateTo
Indicates the earliest known date at which the finding, discovery, or observation of one entity is recorded as relating to another entity.
-
E.
earliestTextsIn
Indicates that certain texts are among the earliest known examples found in or associated with a particular place 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8bdfbc8190832809edbe8b7c27 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.