Triple
T10693825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Israeli legislative election |
E252078
|
entity |
| Predicate | seatsWonByHatnua |
P31127
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [2013 Israeli legislative election, seatsWonByHatnua, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsWonByHatnua Context triple: [2013 Israeli legislative election, seatsWonByHatnua, 6]
-
A.
seatsWonByBalad
Indicates the number of legislative seats that were won by the Balad party in an election.
-
B.
numberOfSeatsWon
chosen
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
-
C.
seatsWonByNational Union
Indicates the number of legislative or electoral seats that were won by the National Union in a given election or contest.
-
D.
speakerSeatsWon
Indicates the number of seats won by the entity serving or designated as the speaker in a given election or legislative context.
-
E.
LokSabhaSeats
Indicates the number of seats a political party or entity holds or is allocated in the Lok Sabha (the lower house of India’s Parliament).
- 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_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. |
Created at: April 8, 2026, 9:11 p.m.