Triple
T7535867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon congressional delegation |
E178148
|
entity |
| Predicate | representsChamber |
P77680
|
FINISHED |
| Object | Oregon interests at the federal level |
—
|
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: Oregon interests at the federal level | Statement: [Oregon congressional delegation, representsChamber, Oregon interests at the federal level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsChamber Context triple: [Oregon congressional delegation, representsChamber, Oregon interests at the federal level]
-
A.
isChamber
Indicates that one entity functions as a chamber, room, or enclosed space in relation to another entity.
-
B.
belongsToChamber
Indicates that an entity is a member of, or is formally associated with, a specific chamber or legislative body.
-
C.
electsToChamber
Indicates that a group or body selects or votes individuals into membership of a specific legislative chamber.
-
D.
forChamber
Indicates that something is intended for use in, associated with, or belonging to a particular chamber.
-
E.
includesChamber
Indicates that one entity contains or encompasses a specific chamber as part of its structure or composition.
- 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.