Triple
T35760910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirty-sixth government of Israel |
E1033565
|
entity |
| Predicate | endedTenureOf |
P41368
|
FINISHED |
| Object | Benjamin Netanyahu |
E50266
|
NE 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: Benjamin Netanyahu | Statement: [Thirty-sixth government of Israel, endedTenureOf, Benjamin Netanyahu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endedTenureOf Context triple: [Thirty-sixth government of Israel, endedTenureOf, Benjamin Netanyahu]
-
A.
endOfTenure
chosen
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
B.
laterTenure
Indicates that one entity’s tenure or term of service occurs after another entity’s tenure or term of service.
-
C.
denotesTenure
Indicates that one entity holds or has held a position, role, or office at another entity for a specified period of time.
-
D.
initialTenure
Indicates the starting period or first phase of someone’s tenure in a role, position, or organization.
-
E.
lifeTenure
Indicates that an individual holds a position or office for the duration of their lifetime, without a fixed term limit or routine reappointment.
- F. None of above.
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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1c496808190a84be6315eb4c9fa |
completed | May 3, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3933f5b38081908e6311c398f6cef4 |
completed | June 22, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.