Triple
T2610190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodhi tree |
E58753
|
entity |
| Predicate | locatedAtEvent |
P36296
|
FINISHED |
| Object | Buddha’s enlightenment |
—
|
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: Buddha’s enlightenment | Statement: [Bodhi tree, locatedAtEvent, Buddha’s enlightenment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtEvent Context triple: [Bodhi tree, locatedAtEvent, Buddha’s enlightenment]
-
A.
locatedAtInteractionPoint
Indicates that an entity is positioned at a specific interaction point where interactions or exchanges are intended to occur.
-
B.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
C.
eventLocationOfNotableActivity
chosen
Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
-
D.
triggerEventLocation
Indicates the location where a triggering event occurs or is initiated.
-
E.
locatedOff
Indicates that one entity is situated away from, but in the vicinity of, another entity or reference point, rather than directly on or within it.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.