Triple
T20982621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VUSAC |
E516802
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | VUSAC |
—
|
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: VUSAC | Statement: [VUSAC, acronym, VUSAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VUSAC Context triple: [VUSAC, acronym, VUSAC]
-
A.
VUSAC
chosen
VUSAC is the student government representing and advocating for students at Victoria University in the University of Toronto.
-
B.
Uspantek
Uspantek is a Mayan language spoken by the Uspanteko people in the highlands of Guatemala.
-
C.
Usuxçay
Usuxçay is a river in northeastern Azerbaijan that serves as a tributary of the Samur River within the Greater Caucasus region.
-
D.
UNSAAC
UNSAAC is a major public university in Cusco, Peru, recognized for its historical significance and academic contributions in the Andean region.
-
E.
UNAVEM III
UNAVEM III was a United Nations peacekeeping operation in Angola tasked with overseeing the implementation of peace agreements and supporting the transition to stability after years of civil war.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe03244819097630333e70c4e88 |
completed | April 21, 2026, 4:24 a.m. |
Created at: April 16, 2026, 1:48 p.m.