Triple
T12261482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amitābha Buddha |
E292234
|
entity |
| Predicate | keyVow |
P104102
|
FINISHED |
| Object | vow to establish a Pure Land for sentient beings |
—
|
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: vow to establish a Pure Land for sentient beings | Statement: [Amitābha Buddha, keyVow, vow to establish a Pure Land for sentient beings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyVow Context triple: [Amitābha Buddha, keyVow, vow to establish a Pure Land for sentient beings]
-
A.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
-
B.
keyValue
Indicates that one entity functions as a key that is associated with a corresponding value represented by the other entity.
-
C.
keySaying
Indicates that an entity is a notable or characteristic saying, phrase, or quotation associated with another entity.
-
D.
keyOf
Indicates that one entity functions as the key (identifier or access token) associated with another entity.
-
E.
keySymbol
Indicates that one entity serves as the symbolic representation or notation used to denote another entity as a key.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d93805cee08190a532ebcf5908e617 |
completed | April 10, 2026, 5:48 p.m. |
Created at: April 8, 2026, 9:52 p.m.