Triple
T1329432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-346 Master |
E28606
|
entity |
| Predicate | designationInIsrael |
P19278
|
FINISHED |
| Object | Lavi (locally designated) |
—
|
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: Lavi (locally designated) | Statement: [M-346 Master, designationInIsrael, Lavi (locally designated)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designationInIsrael Context triple: [M-346 Master, designationInIsrael, Lavi (locally designated)]
-
A.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
B.
designationType
chosen
Indicates the specific category or kind of formal status, title, or label that has been assigned in a designation relationship.
-
C.
roleInJudaism
Indicates the specific religious, social, or institutional function an entity holds within the context of Judaism.
-
D.
politicalDesignation
Indicates that an entity is assigned or associated with a specific political status, role, or classification.
-
E.
designationAuthority
Indicates the entity that has the official power or responsibility to assign, grant, or confer a particular designation to 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c30c948190afc6342b3dcda948 |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.