Triple
T31248991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | שבט יהודה |
E796762
|
entity |
| Predicate | היה אחד מ |
P26764
|
FINISHED |
| Object | שנים עשר שבטי ישראל |
—
|
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: שנים עשר שבטי ישראל | Statement: [שבט יהודה, היה אחד מ, שנים עשר שבטי ישראל]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: היה אחד מ Context triple: [שבט יהודה, היה אחד מ, שנים עשר שבטי ישראל]
-
A.
wasOneOfFirst
Indicates that the subject belonged to the earliest group or set of entities to perform, experience, or possess the specified role, status, or attribute.
-
B.
hasNumberOneSingleIn
Indicates that an entity has achieved at least one number-one single within a specified chart, region, or context.
-
C.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
-
D.
oneOfFewIn
Indicates that an entity is one among a small, limited number of entities that are in or belong to a specified set, group, or context.
-
E.
wasAmong
chosen
Indicates that an entity belonged to, was included in, or was part of a particular group, set, or collection.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:11 p.m.