Triple
T307126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland City Commissioner, Position 3 |
E6326
|
entity |
| Predicate | officeStatus |
P127
|
FINISHED |
| Object | active |
—
|
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: active | Statement: [Portland City Commissioner, Position 3, officeStatus, active]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStatus Context triple: [Portland City Commissioner, Position 3, officeStatus, active]
-
A.
officeInvolved
Indicates that a particular office or organizational unit is involved or participates in a specified event, action, or relationship.
-
B.
status
chosen
Indicates the current condition, state, or standing of an entity within a given context.
-
C.
establishedOffice
Indicates that an entity created or set up an official office or place of operation.
-
D.
openStatus
Indicates whether an entity (such as a place, service, or resource) is currently open or available for use.
-
E.
exportStatus
Indicates the current state or outcome of an entity’s export process (e.g., pending, in progress, completed, or failed).
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea313be88190b4441f3ea41a99e2 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93f38308190b4b480c951f1a1c3 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.