Triple
T7535860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon congressional delegation |
E178148
|
entity |
| Predicate | senateClassDistribution |
P77679
|
FINISHED |
| Object | two Senate seats divided among three classes |
—
|
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: two Senate seats divided among three classes | Statement: [Oregon congressional delegation, senateClassDistribution, two Senate seats divided among three classes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senateClassDistribution Context triple: [Oregon congressional delegation, senateClassDistribution, two Senate seats divided among three classes]
-
A.
isPartOfSenateClassSystem
Indicates that an entity belongs to or is categorized within a specific class or grouping of the Senate class system.
-
B.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context or entity.
-
C.
numberOfSeatsInSenate
Indicates the total count of seats allocated in a given senate.
-
D.
representedInSenate
Indicates that an entity serves as a representative for another entity within a senate or upper legislative chamber.
-
E.
senateMembership
Indicates that an entity holds or has held a position as a member of a senate.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84c13208190971096a0b81b0ff2 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5cea2748190afd607ef93e8d66c |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:47 p.m.