Triple
T12668199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sister Mary Clarence |
E302610
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Reno |
E16997
|
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: Reno | Statement: [Sister Mary Clarence, setting, Reno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reno Context triple: [Sister Mary Clarence, setting, Reno]
-
A.
Reno
chosen
Reno is a city in northwestern Nevada known for its casinos, tourism, and proximity to outdoor recreation areas in the Sierra Nevada, including Lake Tahoe.
-
B.
Reno
Reno is a small city located in Parker County in the U.S. state of Texas.
-
C.
Carson City
Carson City is the capital of the U.S. state of Nevada, located in the western part of the state near the Sierra Nevada mountains.
-
D.
Austin, Nevada
Austin, Nevada is a small historic mining town in central Nevada known for its remote location along U.S. Route 50 and well-preserved 19th-century architecture.
-
E.
Sparks, Nevada
Sparks, Nevada is a city in Washoe County that forms part of the Reno–Sparks metropolitan area and is known for its casinos, special events, and proximity to Lake Tahoe.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96181c40481908f3e2717f5472b85 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a53c03248190bd16ebaed9958815 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:20 p.m.