Triple
T21158998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loretta |
E521385
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Loretto |
—
|
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: Loretto | Statement: [Loretta, hasVariant, Loretto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loretto Context triple: [Loretta, hasVariant, Loretto]
-
A.
Loretto
Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
-
B.
Loretto
Loretto is a small city located in Hennepin County in the U.S. state of Minnesota.
-
C.
Loretto Community
Loretto Community is a Catholic religious organization of sisters and co-members dedicated to education, justice, and peace, rooted in the tradition of the Sisters of Loretto.
-
D.
Marycrest
Marycrest is a residential neighborhood located within the community of Ashburn.
-
E.
Loretto Elementary School
Loretto Elementary School is a public elementary school serving young students in the Mandarin neighborhood of Jacksonville, Florida.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252e9ef481908f4904c535f3da8b |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.