Triple
T26671506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCG |
E672342
|
entity |
| Predicate | isMostProminentUniversityIn |
P96166
|
FINISHED |
| Object | Montenegro |
—
|
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: Montenegro | Statement: [UCG, isMostProminentUniversityIn, Montenegro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostProminentUniversityIn Context triple: [UCG, isMostProminentUniversityIn, Montenegro]
-
A.
isLargestUniversityIn
Indicates that a university has the greatest size (e.g., by enrollment, area, or another defined metric) compared to all other universities within a specified region or group.
-
B.
isLargestCampusOf
Indicates that one campus is the largest (by size, area, or capacity) among all campuses belonging to a particular institution or organization.
-
C.
isLargestPublicUniversityIn
Indicates that a university is the largest public university (typically by enrollment or size) within a specified geographic or administrative region.
-
D.
isLargestCollegeAt
Indicates that one college is the largest (typically by enrollment, size, or capacity) among all colleges at a particular institution or location.
-
E.
isOneOfMostImportantUniversitiesInCountry
chosen
Indicates that a university ranks among the top or most significant higher-education institutions within a particular country.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6170044f081908403e5e59a52a57b |
completed | May 2, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:13 a.m.