Triple
T30750011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kassapa Buddha |
E782930
|
entity |
| Predicate | buddhaNumberInCurrentEra |
P170093
|
FINISHED |
| Object | third 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: third Buddha | Statement: [Kassapa Buddha, buddhaNumberInCurrentEra, third Buddha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buddhaNumberInCurrentEra Context triple: [Kassapa Buddha, buddhaNumberInCurrentEra, third Buddha]
-
A.
BuddhistEraYear
Indicates that a given year value is expressed according to the Buddhist Era (BE) calendar system rather than another calendar such as the Gregorian year.
-
B.
timeRelativeToGautama
Indicates how the timing of an event or entity is positioned in relation to the lifetime or historical period of Gautama (the Buddha).
-
C.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
D.
numberInModernEra
Indicates that the associated number or count applies specifically to the modern era timeframe, as opposed to historical or earlier periods.
-
E.
manvantaraNumber
Indicates the specific sequential number assigned to a given manvantara within a cyclical cosmological time framework.
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f7053f88190950d9cbc7f455ed2 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:38 p.m.