Triple
T31379169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington congressional delegation |
E800397
|
entity |
| Predicate | senateSeatsApportionedBy |
P1682
|
FINISHED |
| Object | equal representation of states |
—
|
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: equal representation of states | Statement: [Washington congressional delegation, senateSeatsApportionedBy, equal representation of states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senateSeatsApportionedBy Context triple: [Washington congressional delegation, senateSeatsApportionedBy, equal representation of states]
-
A.
numberOfSeatsInSenate
Indicates the total count of seats allocated in a given senate.
-
B.
apportionedBy
chosen
Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
-
C.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context or entity.
-
D.
numberOfSenateDistricts
Indicates the total count of senate districts associated with a given entity or jurisdiction.
-
E.
firstCongressionalApportionment
Indicates the initial allocation of legislative representation (such as seats in a congress or parliament) among regions or constituencies following the first relevant census or founding arrangement.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 29, 2026, 9:18 p.m.