Triple
T21221012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke City Gladiators |
E522967
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Duke City |
—
|
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: Duke City | Statement: [Duke City Gladiators, shortName, Duke City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke City Context triple: [Duke City Gladiators, shortName, Duke City]
-
A.
Duke City
chosen
Duke City is a popular nickname for Albuquerque, New Mexico, reflecting its historical ties to Spanish nobility.
-
B.
Dell City
Dell City is a small rural town in far West Texas known for its agricultural community and proximity to the Guadalupe Mountains.
-
C.
Kittrell
Kittrell is a small town in North Carolina, United States, known for its rural character and location in Vance County.
-
D.
Frisco
Frisco is the popular nickname for the historic St. Louis–San Francisco Railway, a major American railroad that operated across the Midwest and South.
-
E.
Charlotte
Charlotte is a central character in the 2015 comedy film "The Overnight," involved in the awkward and revealing interactions that unfold over the course of a single evening.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73477957081908ab9ad11f51d15fd |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:43 p.m.