Triple
T22765445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eusebio Francisco Kino |
E563110
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Arizona |
—
|
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: Arizona | Statement: [Eusebio Francisco Kino, workLocation, Arizona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arizona Context triple: [Eusebio Francisco Kino, workLocation, Arizona]
-
A.
Arizona
"Arizona" is a 2018 dark comedy thriller film set during the 2009 housing crisis, starring Rosemarie DeWitt and Danny McBride.
-
B.
Arizona
chosen
Arizona is a southwestern U.S. state known for its desert climate, the Grand Canyon, and major cities like Phoenix and Tucson.
-
C.
Arizona
Arizona is a town in the Atlántida Department of northern Honduras, known for its rural character and proximity to the Caribbean coast.
-
D.
Arizona, Texas
Arizona, Texas is an unincorporated community located within Walker County in the state of Texas, United States.
-
E.
D. Ariz.
D. Ariz. is the standard legal abbreviation for the United States District Court for the District of Arizona, a federal trial court within the Ninth Circuit.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80249c819091569e7b8d500b45 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.