Triple
T17205394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israeli legislative election, 1951 |
E417586
|
entity |
| Predicate | YemeniteAssociationSeatsWon |
P126400
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Israeli legislative election, 1951, YemeniteAssociationSeatsWon, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: YemeniteAssociationSeatsWon Context triple: [Israeli legislative election, 1951, YemeniteAssociationSeatsWon, 1]
-
A.
seatsWonByYeshAtid
Indicates the number of parliamentary seats that were won by the Yesh Atid party in a given election or legislative body.
-
B.
seatsWonByLikudYisraelBeiteinu
Indicates the number of parliamentary seats obtained by the Likud Yisrael Beiteinu political alliance in a given election or legislative body.
-
C.
seatsWonByHadash
Indicates the number of parliamentary or legislative seats that were won by the political party Hadash in a given election or governing body.
-
D.
seatsWonByMeretz
Indicates the number of parliamentary seats that were won by the Meretz party in an election.
-
E.
GeneralZionistsSeatsWon
Indicates the number of parliamentary or legislative seats won by the General Zionists in an election.
- F. None of above. chosen
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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc0bea8819090946615a14b2d86 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:38 a.m.