Triple
T34526855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark McGowan |
E886420
|
entity |
| Predicate | majorityIn2021Election |
P199754
|
FINISHED |
| Object | landslide victory |
—
|
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: landslide victory | Statement: [Mark McGowan, majorityIn2021Election, landslide victory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorityIn2021Election Context triple: [Mark McGowan, majorityIn2021Election, landslide victory]
-
A.
majorityPartyAfterElection
Indicates which political party holds the majority of seats following an election.
-
B.
majorityInByElection
Indicates that an entity holds or wins a majority of votes or seats in a specified by-election.
-
C.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
D.
has2020Winner
Indicates that a given competition, award, or event is associated with the entity that won it in the year 2020.
-
E.
congressionalVoteWinner
Indicates which option, candidate, or position received the majority of votes in a specific congressional vote.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff53389a0481908b2baeb43c6294f0 |
completed | May 9, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69ff52e2b4b88190b38d160d771fe14b |
completed | May 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69ff5337e6f88190ae0418335477063c |
completed | May 9, 2026, 3:31 p.m. |
Created at: May 1, 2026, 2:02 a.m.