Triple
T18486681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of Missouri |
E451708
|
entity |
| Predicate | alsoParticipatesIn |
P74692
|
FINISHED |
| Object | legislative branch of Missouri |
—
|
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: legislative branch of Missouri | Statement: [Lieutenant Governor of Missouri, alsoParticipatesIn, legislative branch of Missouri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoParticipatesIn Context triple: [Lieutenant Governor of Missouri, alsoParticipatesIn, legislative branch of Missouri]
-
A.
coParticipantIn
Indicates that two or more entities take part together as participants in the same event, activity, or situation.
-
B.
hasBeenInvolvedIn
chosen
Indicates that an entity has participated in, taken part in, or been connected to a particular event, activity, or situation.
-
C.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
D.
seriesParticipatedIn
Indicates that an entity took part in or was involved as a participant in a particular series (such as a competition, event sequence, or media series).
-
E.
teamParticipatedIn
Indicates that a team took part in or was involved in a particular event, activity, or competition.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d7e79c819083bf5c54faaa4810 |
completed | April 19, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.