Triple
T20230894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denison Fire Department |
E495519
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Denison |
—
|
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: Denison | Statement: [Denison Fire Department, serves, Denison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denison Context triple: [Denison Fire Department, serves, Denison]
-
A.
Denison
chosen
Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
-
B.
Denison
Denison is a given name most notably borne by the influential 19th-century English theologian and Christian socialist Frederick Denison Maurice.
-
C.
Denison University
Denison University is a private liberal arts college in Granville, Ohio, known for its strong undergraduate programs and vibrant residential campus life.
-
D.
Shattuck
Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
-
E.
Creighton
Creighton is a masculine given name most notably associated with U.S. Army General Creighton Abrams.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdce9d081909752a6a1e15283ba |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.