Triple
T33726616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Netanyahu Government |
E864159
|
entity |
| Predicate | primeMinisterTermNumberForNetanyahu |
P29051
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Second Netanyahu Government, primeMinisterTermNumberForNetanyahu, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primeMinisterTermNumberForNetanyahu Context triple: [Second Netanyahu Government, primeMinisterTermNumberForNetanyahu, 2]
-
A.
presidentOfIsraelDuringTerm
Indicates that one entity served as the President of Israel during the specified term of office associated with the other entity.
-
B.
primeMinisterTerm
Indicates the period of time during which a person holds the office and exercises the role of prime minister of a government.
-
C.
numberOfTermsAsPrimeMinister
chosen
Indicates how many separate terms an individual has served in the role of prime minister.
-
D.
termLengthAsPrimeMinisterInYears
Indicates the number of years an individual has served in the role of prime minister.
-
E.
endTimeFirstTermAsPrimeMinister
Indicates the date and time when an individual’s first term serving as prime minister comes to an end.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:44 a.m.