Triple
T22118453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Non-constituency Member of Parliament |
E546599
|
entity |
| Predicate | minimumOppositionSeatsEnsured |
P98188
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Non-constituency Member of Parliament, minimumOppositionSeatsEnsured, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumOppositionSeatsEnsured Context triple: [Non-constituency Member of Parliament, minimumOppositionSeatsEnsured, 9]
-
A.
majoritySeats
Indicates that one party or group holds more than half of the available seats in a governing or decision-making body.
-
B.
majoritySeatsThreshold
Indicates the minimum number of seats required for a party or coalition to hold a majority in a representative body.
-
C.
electoralThreshold
Indicates the minimum share of votes a party or candidate must receive to gain representation or seats in an election.
-
D.
oppositionPartySeatsWon
chosen
Indicates the number of legislative seats secured by the opposition party in an election or governing body.
-
E.
numberOfReservedMinoritySeats
Indicates the specific count of seats that are set aside or reserved for members of designated minority groups within a given body or context.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294fcf2c81909b610e03a0f1921f |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:31 p.m.