Triple
T36439155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwean general election, 2023 |
E897678
|
entity |
| Predicate | seatsContestedLowerHouse |
P11588
|
FINISHED |
| Object | 280 |
—
|
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: 280 | Statement: [Zimbabwean general election, 2023, seatsContestedLowerHouse, 280]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsContestedLowerHouse Context triple: [Zimbabwean general election, 2023, seatsContestedLowerHouse, 280]
-
A.
numberOfSeatsContested
chosen
Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
-
B.
parliamentarySeats
Indicates the number of seats a party, group, or representative holds in a parliamentary body.
-
C.
hasLowerHouseSeats
Indicates the number of seats an entity holds in the lower house of a bicameral legislature.
-
D.
portionOfSenateContested
Indicates the fraction of seats in a senate that are up for election or otherwise being contested during a given electoral cycle.
-
E.
seatsFreelyContestedInSejm
Indicates that the specified seats in the Sejm are filled through open, competitive elections without restrictions favoring particular parties or candidates.
- 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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.