Triple
T22728832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Providence Park station |
E562070
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Portland |
—
|
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: Portland | Statement: [Providence Park station, city, Portland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portland Context triple: [Providence Park station, city, Portland]
-
A.
Portland
chosen
Portland is the largest city in Oregon, known for its vibrant arts scene, progressive culture, and lush green spaces in the Pacific Northwest.
-
B.
Portland
Portland is the largest city in the U.S. state of Maine, known for its historic waterfront, vibrant arts scene, and coastal New England charm.
-
C.
Portland
Portland is a tied island and civil parish on the Jurassic Coast in Dorset, England, known for its historic quarries, lighthouse, and role as a former naval base.
-
D.
Portland
Portland is a small settlement in New Zealand’s Northland Region, located near Whangārei and known for its cement works and coastal setting.
-
E.
Portland
Portland is a small village in Eastern Ontario, Canada, known for its location on the Rideau Canal and its popularity as a boating and cottage destination.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792be7d88190b6d7d79041fcba25 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:21 p.m.