Triple
T20307924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huỳnh Phú Sổ |
E510153
|
entity |
| Predicate | doctrineCharacteristics |
P128001
|
FINISHED |
| Object | emphasis on lay Buddhist practice |
—
|
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: emphasis on lay Buddhist practice | Statement: [Huỳnh Phú Sổ, doctrineCharacteristics, emphasis on lay Buddhist practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctrineCharacteristics Context triple: [Huỳnh Phú Sổ, doctrineCharacteristics, emphasis on lay Buddhist practice]
-
A.
entityCharacteristic
chosen
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
-
B.
rulesCharacteristic
Indicates that one entity establishes or defines a characteristic, property, or feature that another entity must follow or conform to.
-
C.
ruleCharacteristics
Indicates the defining properties, constraints, or parameters that specify how a particular rule operates or should be applied.
-
D.
catalogCharacteristic
Indicates that a catalog has a specific characteristic or attribute associated with it.
-
E.
subjectHasCharacteristic
Indicates that a subject possesses, exhibits, or is defined by a particular characteristic or attribute.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677411cf08190ba7e98a4135b643a |
completed | April 20, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:18 a.m.