Triple
T121785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland City Commissioner, Position 1 |
E2461
|
entity |
| Predicate | isNonpartisanOffice |
P5069
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Portland City Commissioner, Position 1, isNonpartisanOffice, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonpartisanOffice Context triple: [Portland City Commissioner, Position 1, isNonpartisanOffice, true]
-
A.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
B.
isCivilianOffice
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
-
C.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
D.
legislativeRole
Indicates that an entity holds or performs a specific official position, function, or duty within a legislative body or lawmaking process.
-
E.
roleInCongress
Indicates the specific position or function an individual holds within a legislative congress.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a25739ef28819093f3f0e6bb670201 |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564928208190966a619680a0d6e2 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.