Triple
T19131383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamestown, North Dakota |
E468321
|
entity |
| Predicate | universityCityFor |
P263
|
FINISHED |
| Object | University of Jamestown students |
—
|
LITERAL 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: University of Jamestown students | Statement: [Jamestown, North Dakota, universityCityFor, University of Jamestown students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityCityFor Context triple: [Jamestown, North Dakota, universityCityFor, University of Jamestown students]
-
A.
containsUniversityCity
Indicates that a given region or area includes within its boundaries a city that hosts a university.
-
B.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
C.
cityOfInstitution
chosen
Indicates the city in which an institution is located or based.
-
D.
hasUniversityCityReputation
Indicates that a university holds a particular reputation or standing within a specific city.
-
E.
hasCampusCity
Indicates that an educational institution or campus is located in a particular city.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3e980288190859026c0a0873fe2 |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.