Triple
T10802421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanuatu Time |
E254872
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | VUT |
E151531
|
NE 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: VUT | Statement: [Vanuatu Time, abbreviation, VUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VUT Context triple: [Vanuatu Time, abbreviation, VUT]
-
A.
VUT
VUT is the Czech abbreviation for Brno University of Technology, a major technical and engineering university based in Brno, Czech Republic.
-
B.
VUT
chosen
VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
-
C.
VU
VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
-
D.
VŠE
VŠE is the commonly used abbreviation for the University of Economics in Prague, a leading Czech institution specializing in economics and business studies.
-
E.
VKSU
VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7336dedec819099bd302c5d213dba |
completed | April 9, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de566e7d408190946864e28c294075 |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:18 p.m.