Triple
T15946285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oneida County |
E386691
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Utica |
E58964
|
NE FINISHED |
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: Utica | Statement: [Oneida County, contains, Utica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utica Context triple: [Oneida County, contains, Utica]
-
A.
Utica
Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
-
B.
Utica
Utica is a small town in Hinds County, Mississippi, known for its rural character and historic Southern setting.
-
C.
Útica
Útica is a small Colombian town known for its warm climate and location in the Gualivá region of the Cundinamarca department.
-
D.
Oneonta
Oneonta is a small city in central Alabama that serves as the county seat and primary population center of Blount County.
-
E.
Utica, New York
chosen
Utica, New York is a small city in central New York State known historically as an industrial and transportation hub and today for its cultural diversity and role in the Mohawk Valley region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d1a4c08190afc325491ba38870 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673979608190905afae3071413c0 |
completed | May 11, 2026, 5:20 a.m. |
Created at: April 10, 2026, 4:53 a.m.