Triple
T9289650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas in the United States Senate |
E223484
|
entity |
| Predicate | chamberOfCongress |
P87444
|
FINISHED |
| Object | upper chamber of the United States Congress |
—
|
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: upper chamber of the United States Congress | Statement: [Texas in the United States Senate, chamberOfCongress, upper chamber of the United States Congress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chamberOfCongress Context triple: [Texas in the United States Senate, chamberOfCongress, upper chamber of the United States Congress]
-
A.
chamberOf
Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to another entity.
-
B.
partyCongress
Indicates that a political party holds or is associated with a specific congress or formal assembly.
-
C.
currentRepresentativeChamber
Indicates that an entity currently serves as a representative in a specific legislative chamber.
-
D.
electedChamber
Indicates that an individual has been chosen through an election to serve as a member of a specific legislative chamber.
-
E.
formerLegislatureChambers
Indicates that an entity once served as a legislative chamber but no longer holds that function.
- 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.