Triple
T10693819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Israeli legislative election |
E252078
|
entity |
| Predicate | seatsWonByLikudYisraelBeiteinu |
P95323
|
FINISHED |
| Object | 31 |
—
|
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: 31 | Statement: [2013 Israeli legislative election, seatsWonByLikudYisraelBeiteinu, 31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsWonByLikudYisraelBeiteinu Context triple: [2013 Israeli legislative election, seatsWonByLikudYisraelBeiteinu, 31]
-
A.
seatsWonByLikud
Indicates the number of parliamentary seats that were won by the Likud party in a given election or legislative body.
-
B.
seatsWonByMeretz
Indicates the number of parliamentary seats that were won by the Meretz party in an election.
-
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.
seatsWonByUnited Torah Judaism
Indicates the number of parliamentary seats that were won by the political party United Torah Judaism in a given election or legislative body.
-
E.
seatsWonByBalad
Indicates the number of legislative seats that were won by the Balad party 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd38c24c8190a105a9dfdf705b38 |
completed | April 9, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:11 p.m.