Triple
T7071061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall/Nimbus station |
E164695
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Beaverton |
E36936
|
NE 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: Beaverton | Statement: [Hall/Nimbus station, servesCity, Beaverton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beaverton Context triple: [Hall/Nimbus station, servesCity, Beaverton]
-
A.
Beaverton, Oregon
chosen
Beaverton, Oregon is a major suburban city in the Portland metropolitan area known for its residential communities, tech industry presence, and proximity to Nike’s world headquarters.
-
B.
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.”
-
C.
Hillsboro
Hillsboro is a small rural town in Pocahontas County, West Virginia, known for its scenic Appalachian setting and historic character.
-
D.
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.
-
E.
Tigard, Oregon
Tigard, Oregon is a suburban city in the Portland metropolitan area known for its residential communities, retail centers, and access to regional transportation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c862f481908d1faf6ed57774f1 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7dafcc8b4819080c962d109381a69 |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:39 p.m.