Triple
T23830701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanpete Valley |
E589504
|
entity |
| Predicate | SnowCollegeLocatedIn |
P26464
|
FINISHED |
| Object | Ephraim |
—
|
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: Ephraim | Statement: [Sanpete Valley, SnowCollegeLocatedIn, Ephraim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SnowCollegeLocatedIn Context triple: [Sanpete Valley, SnowCollegeLocatedIn, Ephraim]
-
A.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
B.
hasCampusOn
chosen
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
C.
isCollegeTownOf
Indicates that a town or city is primarily known for and significantly shaped by the presence of a particular college or university.
-
D.
cityOfInstitution
Indicates the city in which an institution is located or based.
-
E.
isAbroadCampusOf
Indicates that one campus is a geographically separate, foreign-location branch of a primary institution or main campus.
- F. None of above.
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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f5de508190bd6bb6d89b8952d5 |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:04 p.m.