Triple
T2601002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maitreya |
E58341
|
entity |
| Predicate | willAppearWhen |
P12708
|
FINISHED |
| Object | Teachings of Gautama Buddha have largely vanished |
—
|
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: Teachings of Gautama Buddha have largely vanished | Statement: [Maitreya, willAppearWhen, Teachings of Gautama Buddha have largely vanished]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: willAppearWhen Context triple: [Maitreya, willAppearWhen, Teachings of Gautama Buddha have largely vanished]
-
A.
visibleAt
Indicates that one entity can be seen or perceived from a specific location, viewpoint, or context at a given time.
-
B.
appearsAs
Indicates that one entity is presented, perceived, or manifested in the form, role, or guise of another entity.
-
C.
occursWhen
chosen
Indicates that one event or condition happens at the same time or is triggered under the circumstances defined by another event or condition.
-
D.
appearedWith
Indicates that two entities were present or participated together in the same context, event, or medium.
-
E.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4587014819089f78e93adf2144c |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.