Triple
T19850568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kahana |
E476980
|
entity |
| Predicate | isOccupationalOrigin |
P127286
|
FINISHED |
| Object | priestly class in ancient Israel |
—
|
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: priestly class in ancient Israel | Statement: [Kahana, isOccupationalOrigin, priestly class in ancient Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOccupationalOrigin Context triple: [Kahana, isOccupationalOrigin, priestly class in ancient Israel]
-
A.
isOccupationalInOrigin
chosen
Indicates that something (typically a name or term) originates from or is derived from an occupation or profession.
-
B.
isOccupationalFormOf
Indicates that one occupation is a specific form, variant, or specialization of another, more general occupation.
-
C.
originatesFromWork
Indicates that something has its source, derivation, or creation in a particular work (such as a document, artwork, or publication).
-
D.
originallyFromWorkType
Indicates that one entity was derived, adapted, or sourced from an original work of a specified type (e.g., book, film, artwork).
-
E.
sufferedOccupationBy
Indicates that an entity experienced harm, hardship, or adverse conditions as a result of being occupied or controlled by another entity.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65867b5408190bbd12ca567c4705f |
completed | April 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.