Triple
T37033220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Scottish Parliament election |
E916551
|
entity |
| Predicate | GreenVoteSharePercentage |
P187267
|
FINISHED |
| Object | 6.6 |
—
|
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: 6.6 | Statement: [2016 Scottish Parliament election, GreenVoteSharePercentage, 6.6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GreenVoteSharePercentage Context triple: [2016 Scottish Parliament election, GreenVoteSharePercentage, 6.6]
-
A.
EFFVoteSharePercentage
Indicates the percentage of total votes that were cast in favor of the EFF in a given election or voting context.
-
B.
MapaiVoteShare
Indicates the proportion of total votes that were cast in favor of the Mapai party in a given election or electoral context.
-
C.
PACVoteSharePercentage
Indicates the percentage of total votes that were cast for a specific political action committee (PAC) in an election or decision-making process.
-
D.
ACDPVoteSharePercentage
Indicates the percentage of total votes that were cast for the ACDP in a given election or voting context.
-
E.
AlliancePopularVoteShare
Indicates the proportion of total votes received by a political alliance in an election relative to all valid votes cast.
- 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.