Triple
T28338430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Potalaka |
E717744
|
entity |
| Predicate | associatedWithBodhisattva |
P62540
|
FINISHED |
| Object | Avalokiteśvara |
—
|
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: Avalokiteśvara | Statement: [Mount Potalaka, associatedWithBodhisattva, Avalokiteśvara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithBodhisattva Context triple: [Mount Potalaka, associatedWithBodhisattva, Avalokiteśvara]
-
A.
associatedBuddha
Indicates a relationship where something is linked or connected to a particular Buddha, such as being attributed to, dedicated to, or representing that Buddha.
-
B.
hasBodhisattva
chosen
Indicates that one entity includes, is associated with, or is characterized by the presence or guidance of a bodhisattva.
-
C.
associatedWithTirthankara
Indicates a relationship where an entity has a connection, link, or relevance to a Tirthankara.
-
D.
relationshipToBuddha
Indicates the type of relational connection an entity has to the Buddha, such as familial, spiritual, or social association.
-
E.
associatedWithAcharya
Indicates a relationship in which an entity is connected, linked, or related in some relevant way to an acharya (a spiritual or scholarly teacher).
- 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a013a251b4081908b43d85dd95586c5 |
completed | May 11, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_6a0137e4ea988190812173a5ff044098 |
completed | May 11, 2026, 1:59 a.m. |
Created at: April 28, 2026, 12:37 a.m.