Triple
T38564831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Zionist Union |
E928184
|
entity |
| Predicate | electoralListSecondIn2015 |
P106578
|
FINISHED |
| Object | Tzipi Livni |
—
|
NE NERFINISHED |
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: Tzipi Livni | Statement: [The Zionist Union, electoralListSecondIn2015, Tzipi Livni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralListSecondIn2015 Context triple: [The Zionist Union, electoralListSecondIn2015, Tzipi Livni]
-
A.
electionResult2015
Indicates the outcome or status of an entity in the context of the 2015 election.
-
B.
electoralList
chosen
Indicates that an entity is part of, or associated with, a specific electoral list used in an election.
-
C.
2015GeneralElectionVoteShare
Indicates the proportion of total votes that a candidate, party, or option received in the 2015 general election.
-
D.
electorateComposition
Indicates the makeup or distribution of different groups within a body of eligible voters.
-
E.
seatsWonIn2019ParliamentaryElection
Indicates the number of seats an entity secured in the 2019 parliamentary election.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:32 p.m.