Triple
T8093358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African general election, 1999 |
E188921
|
entity |
| Predicate | secondPlacePartySeats |
P31127
|
FINISHED |
| Object | 38 |
—
|
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: 38 | Statement: [South African general election, 1999, secondPlacePartySeats, 38]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPlacePartySeats Context triple: [South African general election, 1999, secondPlacePartySeats, 38]
-
A.
secondLargestParty
Indicates that the subject is the political party with the second-highest level of support, representation, or size within a specified political context.
-
B.
numberOfSeatsWon
chosen
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
-
C.
thirdLargestPartySeats
Indicates the number of seats held by the third-largest political party in a given legislative body or election outcome.
-
D.
secondLargestPartyLeader
Indicates that the subject is the leader of the second-largest political party (typically by number of seats or votes) within a given political system or election context.
-
E.
secondPartySeats
Indicates that a second party assigns or provides seating or seats to another entity.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4222b68c81909c8bc326763240d0 |
completed | March 31, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:30 p.m.