Triple
T21298940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravenna |
E525002
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Roosevelt |
—
|
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: Roosevelt | Statement: [Ravenna, adjacentTo, Roosevelt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roosevelt Context triple: [Ravenna, adjacentTo, Roosevelt]
-
A.
Roosevelt
Roosevelt is a major Chicago 'L' rapid transit station that serves as a key transfer point near the city's Museum Campus and South Loop.
-
B.
Roosevelt
Roosevelt is a prominent American surname most famously associated with political figures such as Presidents Theodore and Franklin D. Roosevelt and First Lady Eleanor Roosevelt.
-
C.
Roosevelt
chosen
Roosevelt is a residential and commercial neighborhood in north Seattle known for its historic architecture, proximity to Green Lake, and access to light rail transit.
-
D.
Mr. Roosevelt
Mr. Roosevelt is a 2017 indie comedy film written, directed by, and starring Noël Wells, following a struggling comedian who returns to her college town after a personal loss.
-
E.
President Franklin D. Roosevelt
President Franklin D. Roosevelt was the 32nd president of the United States, who led the nation through the Great Depression and most of World War II and implemented the transformative New Deal reforms.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385a24d08190bfd410c7f10fa6f7 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.