Triple
T19763947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Astoria |
E474701
|
entity |
| Predicate | replacedBy |
P101
|
FINISHED |
| Object | Town of Astoria |
—
|
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: Town of Astoria | Statement: [Fort Astoria, replacedBy, Town of Astoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Astoria Context triple: [Fort Astoria, replacedBy, Town of Astoria]
-
A.
City of Astoria
chosen
The City of Astoria is a historic coastal city in northwest Oregon, known as the oldest American settlement west of the Rocky Mountains and a key port at the mouth of the Columbia River.
-
B.
Astoria Landing
Astoria Landing is a New York City Ferry terminal in the Astoria neighborhood of Queens that serves as a waterfront transit hub connecting passengers to routes along the East River.
-
C.
The Island City
The Island City is a nickname for Alameda, California, a small Bay Area city known for its island geography, historic Victorian homes, and waterfront views.
-
D.
Astoria
Astoria is a central Budapest metro station and major transport hub located near the intersection of key downtown thoroughfares.
-
E.
Astoria
Astoria is an Italian publishing imprint known for its literary fiction and narrative works, operating under the Gruppo Editoriale Mauri Spagnol publishing group.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65321a35c819084556118ad4ef1ee |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.