Triple
T7430315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deer Park, Sarnath |
E171471
|
entity |
| Predicate | timeOfFirstSermon |
P76362
|
FINISHED |
| Object | shortly after Buddha’s enlightenment at Bodh Gaya |
—
|
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: shortly after Buddha’s enlightenment at Bodh Gaya | Statement: [Deer Park, Sarnath, timeOfFirstSermon, shortly after Buddha’s enlightenment at Bodh Gaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfFirstSermon Context triple: [Deer Park, Sarnath, timeOfFirstSermon, shortly after Buddha’s enlightenment at Bodh Gaya]
-
A.
firstSermonEvent
Indicates the event during which an entity delivers its first sermon.
-
B.
firstSermonPlace
Indicates the place where an entity delivered its first sermon.
-
C.
dateOfFirstBishopConsecration
Indicates the calendar date on which the first bishop associated with an entity was consecrated.
-
D.
startTimeOfEpiscopate
Indicates the date and time when a person's period of serving as a bishop (episcopate) begins.
-
E.
firstChapelBuilt
Indicates that the subject is the location or entity where the first chapel was constructed or established.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f32324c481908c9ba594e8456728 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0be2b1c8190bea06100a7caef2b |
completed | March 27, 2026, 9:03 p.m. |
Created at: March 27, 2026, 3:12 p.m.