Triple
T9475171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | November 2015 Turkish general election |
E228496
|
entity |
| Predicate | HDPVoteShare |
P9216
|
FINISHED |
| Object | approximately 10.8% |
—
|
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: approximately 10.8% | Statement: [November 2015 Turkish general election, HDPVoteShare, approximately 10.8%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HDPVoteShare Context triple: [November 2015 Turkish general election, HDPVoteShare, approximately 10.8%]
-
A.
AlliancePopularVoteShare
Indicates the proportion of total votes received by a political alliance in an election relative to all valid votes cast.
-
B.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
C.
republicanPopularVoteShare
Indicates the proportion of total votes in an election that were cast for the Republican Party.
-
D.
popularVoteShare
chosen
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
-
E.
hasElectoralVotes
Indicates that a political entity (such as a state or district) possesses a specified number of votes in an electoral system used to choose an officeholder.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff39f48819087e696c2c1ffe638 |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:54 p.m.