Triple
T9570514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon State Senate chamber |
E230900
|
entity |
| Predicate | legislativeBodySize |
P7799
|
FINISHED |
| Object | 30 members |
—
|
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: 30 members | Statement: [Oregon State Senate chamber, legislativeBodySize, 30 members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislativeBodySize Context triple: [Oregon State Senate chamber, legislativeBodySize, 30 members]
-
A.
governingBodySize
Indicates the number of members or the overall size of the group that serves as the governing body for an entity.
-
B.
totalNumberOfLegislators
chosen
Indicates the total count of legislators associated with a given political body, jurisdiction, or legislative session.
-
C.
legislativeBodyOf
Indicates that one entity is the official legislative body (lawmaking assembly) of another entity, typically a political unit such as a country, state, or city.
-
D.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
-
E.
electingBodyForMostMembers
Indicates that the subject is the body or constituency that elects the majority of the members of the object organization or assembly.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd998ab5948190be78db4eed7825a0 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.