Triple
T21049301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ear of Dionysius |
E518532
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | Syracuse |
—
|
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: Syracuse | Statement: [Ear of Dionysius, municipality, Syracuse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syracuse Context triple: [Ear of Dionysius, municipality, Syracuse]
-
A.
Syracuse
Syracuse is a mid-sized city in central New York State known for Syracuse University, its role as a regional economic and cultural hub, and its snowy winters.
-
B.
Syracuse
chosen
Syracuse is an ancient and historically significant city on the eastern coast of Sicily, renowned as a powerful Greek colony and cultural center in antiquity.
-
C.
Syracuse
Syracuse is a suburban city in Davis County, northern Utah, known for its rapid growth and proximity to the Great Salt Lake and Antelope Island.
-
D.
Utica
Utica is a small village in LaSalle County, Illinois, known as a gateway to the nearby Starved Rock State Park.
-
E.
Utica
Utica is a small town in Hinds County, Mississippi, known for its rural character and historic Southern setting.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd79830881909fdac2f0ea48d28c |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:34 p.m.