Triple
T17111955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israeli legislative election, 1949 |
E415246
|
entity |
| Predicate | MapaiSeatsWon |
P6983
|
FINISHED |
| Object | 46 |
—
|
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: 46 | Statement: [Israeli legislative election, 1949, MapaiSeatsWon, 46]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MapaiSeatsWon Context triple: [Israeli legislative election, 1949, MapaiSeatsWon, 46]
-
A.
seatWinner
Indicates that a particular candidate or party has won a specific seat (e.g., in an election or contest).
-
B.
winnerCount
chosen
Indicates the number of entities that are designated as winners in a given context or event.
-
C.
mostWinsByPlayerCount
Indicates the maximum number of wins achieved by any single player within the considered set or context.
-
D.
numberOfWins
Indicates the count of times an entity has achieved victory in a relevant context or competition.
-
E.
masteryWonBy
Indicates that a particular mastery, title, or level of expertise is obtained or achieved by a specific 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2bab0881908339ec7fb3ebe7e9 |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.