Triple
T30671372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koṇāgamana Buddha |
E780800
|
entity |
| Predicate | chronologicalOrderAmongPastBuddhas |
P170093
|
FINISHED |
| Object | one of the 24 Buddhas before Gautama |
—
|
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: one of the 24 Buddhas before Gautama | Statement: [Koṇāgamana Buddha, chronologicalOrderAmongPastBuddhas, one of the 24 Buddhas before Gautama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalOrderAmongPastBuddhas Context triple: [Koṇāgamana Buddha, chronologicalOrderAmongPastBuddhas, one of the 24 Buddhas before Gautama]
-
A.
buddhaNumberInCurrentEra
chosen
Indicates the ordinal position of a Buddha within the sequence of Buddhas appearing in the current cosmic era.
-
B.
chronologicallyOrders
Indicates that one entity arranges or sequences other entities according to their positions in time, from earlier to later.
-
C.
chronologicallyOrdered
Indicates that the related entities are arranged in the order in which they occur in time.
-
D.
sequenceInBuddhistCouncils
Indicates the ordered position that something occupies within the series of Buddhist councils.
-
E.
chronologicallyAmong
Indicates that one event or time point occurs within the temporal range defined by two other events or time points, preserving their chronological order.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 29, 2026, 8:32 p.m.