Triple
T9289652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas in the United States Senate |
E223484
|
entity |
| Predicate | votingPowerPerSenator |
P87445
|
FINISHED |
| Object | one vote 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: one vote in the United States Senate | Statement: [Texas in the United States Senate, votingPowerPerSenator, one vote in the United States Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votingPowerPerSenator Context triple: [Texas in the United States Senate, votingPowerPerSenator, one vote in the United States Senate]
-
A.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context or entity.
-
B.
numberOfSenators
Indicates the total count of senators associated with a given political body, region, or entity.
-
C.
numberOfIndependentSenators
Indicates the count of senators who are not formally affiliated with any political party.
-
D.
numberOfSeatsInSenate
Indicates the total count of seats allocated in a given senate.
-
E.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08643a848190a8b5be1ccc0b2ef6 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:35 p.m.