Triple
T17787493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanno Creek |
E444055
|
entity |
| Predicate | managedBy |
P86
|
FINISHED |
| Object | City of Tigard |
—
|
NE NERFINISHED |
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: City of Tigard | Statement: [Fanno Creek, managedBy, City of Tigard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Tigard Context triple: [Fanno Creek, managedBy, City of Tigard]
-
A.
Tigard, Oregon
chosen
Tigard, Oregon is a suburban city in the Portland metropolitan area known for its residential communities, retail centers, and access to regional transportation.
-
B.
Beaverton
Beaverton is a small lakeside community in Ontario, Canada, situated on the eastern shore of Lake Simcoe and known for its marina, fishing, and cottage-country character.
-
C.
Hillsboro
Hillsboro is a major city in the Portland metropolitan area known as a hub of Oregon’s high-tech industry, often referred to as part of the “Silicon Forest.”
-
D.
Hillsboro
Hillsboro is a small rural town in Pocahontas County, West Virginia, known for its scenic Appalachian setting and historic character.
-
E.
Tualatin, Oregon
Tualatin, Oregon is a suburban city in the Portland metropolitan area known for its residential communities, retail centers, and proximity to major regional employers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48794542c8190b049bce6e28c9f3a |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:12 a.m.