Triple
T5985846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate election in Missouri, 1820 |
E133222
|
entity |
| Predicate | isFirstFor |
P46310
|
FINISHED |
| Object | Missouri representation in the United States Senate |
—
|
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: Missouri representation in the United States Senate | Statement: [United States Senate election in Missouri, 1820, isFirstFor, Missouri representation in the United States Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstFor Context triple: [United States Senate election in Missouri, 1820, isFirstFor, Missouri representation in the United States Senate]
-
A.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
-
B.
isFirstNumberOneFor
Indicates that the first number in a given pair, sequence, or context is equal to one for the associated entity or situation.
-
C.
isFirstInCategory
chosen
Indicates that an entity is the earliest or primary member within a defined category or group.
-
D.
firstPresentedFor
Indicates that one entity was initially introduced, submitted, or shown to another entity at a particular time or context.
-
E.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.