Triple
T30896278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Libyan General National Congress election |
E787029
|
entity |
| Predicate | seatsElectedByPartyLists |
P31127
|
FINISHED |
| Object | 80 |
—
|
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: 80 | Statement: [2012 Libyan General National Congress election, seatsElectedByPartyLists, 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsElectedByPartyLists Context triple: [2012 Libyan General National Congress election, seatsElectedByPartyLists, 80]
-
A.
numberOfSeatsWon
chosen
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
-
B.
parliamentarySeats
Indicates the number of seats a party, group, or representative holds in a parliamentary body.
-
C.
seatsWonIn2019ParliamentaryElection
Indicates the number of seats an entity secured in the 2019 parliamentary election.
-
D.
citizensSeatsWon
Indicates the number of legislative or representative seats won by citizens (or citizen-backed entities) in an election or governing body.
-
E.
otherPartiesSeatsWon
Indicates the number of seats won by all parties other than the primary or main party in an election or representative body.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6923baa1081909407a75d6c22a34f |
completed | May 3, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:49 p.m.