Triple
T26592718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisco Varela |
E667402
|
entity |
| Predicate | religiousOrSpiritualPractice |
P56366
|
FINISHED |
| Object | Tibetan Buddhism |
—
|
NE NERFINISHED |
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: Tibetan Buddhism | Statement: [Francisco Varela, religiousOrSpiritualPractice, Tibetan Buddhism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousOrSpiritualPractice Context triple: [Francisco Varela, religiousOrSpiritualPractice, Tibetan Buddhism]
-
A.
practicesReligion
Indicates that an entity actively follows, observes, or participates in the beliefs, rituals, and customs of a particular religion.
-
B.
religionOrBelief
chosen
Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
-
C.
religiousActivity
Indicates participation in, performance of, or association with practices, rituals, or behaviors related to a religion or faith tradition.
-
D.
religiousSpectrum
Indicates a relationship that places entities along a range or continuum of religious belief, practice, or affiliation.
-
E.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
- 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_69ee9cfc385081909ac9ae178030a06e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 27, 2026, 2:08 a.m.