Triple
T19393873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian presidential election, 2014 |
E485136
|
entity |
| Predicate | voteShareOfHamdeenSabahi |
P136279
|
FINISHED |
| Object | about 3.1% |
—
|
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: about 3.1% | Statement: [Egyptian presidential election, 2014, voteShareOfHamdeenSabahi, about 3.1%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voteShareOfHamdeenSabahi Context triple: [Egyptian presidential election, 2014, voteShareOfHamdeenSabahi, about 3.1%]
-
A.
numberOfVotesWonByHamas
Indicates the quantity of votes that were cast in favor of Hamas in a given election or voting event.
-
B.
seatsWonByHadash
Indicates the number of parliamentary or legislative seats that were won by the political party Hadash in a given election or governing body.
-
C.
ArabSatelliteListsSeatsWon
Indicates the number of seats won by an Arab satellite (e.g., party or list) in an election or representative body.
-
D.
votesForMuhammaduBuhari
Indicates that one entity casts or expresses a vote in favor of Muhammadu Buhari.
-
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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b47630881909ba390888b8779f6 |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e50213571881909cd7543a43b51986 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.