Triple
T10872124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itasca Country Club |
E256683
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Itasca |
E48217
|
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: Itasca | Statement: [Itasca Country Club, city, Itasca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itasca Context triple: [Itasca Country Club, city, Itasca]
-
A.
Keosauqua
Keosauqua is a small historic city in southeastern Iowa known for its location along the Des Moines River and its well-preserved 19th-century architecture.
-
B.
Itasca, Illinois
chosen
Itasca, Illinois is a suburban village in DuPage County known for its residential character, business parks, and proximity to Chicago’s O’Hare International Airport.
-
C.
Great Lakes, Illinois
Great Lakes, Illinois is a community best known as the home of the U.S. Navy’s primary training center, including its main boot camp.
-
D.
Iller
The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
-
E.
Vilas
Vilas is the surname of Guillermo Vilas, the legendary Argentine tennis player renowned for his clay-court dominance in the 1970s.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751885b348190baf6eb606089a438 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7dbea28819083511b56bcd7d4ce |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:21 p.m.