Triple
T14511936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somali National University |
E340417
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | SNU |
E340417
|
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: SNU | Statement: [Somali National University, alsoKnownAs, SNU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SNU Context triple: [Somali National University, alsoKnownAs, SNU]
-
A.
SNU
chosen
SNU is the commonly used abbreviation for Somali National University, a leading public institution of higher education in Somalia.
-
B.
SNU
SNU is the IATA airport code for Abel Santamaría Airport, the main international gateway serving Santa Clara in central Cuba.
-
C.
Namseoul University
Namseoul University is a private higher education institution in South Korea known for its practical, industry-oriented programs and international exchange opportunities.
-
D.
Yonsei
Yonsei are fourth-generation Japanese Americans, typically the great-grandchildren of Japanese immigrants to the United States.
-
E.
Yonsei University
Yonsei University is one of South Korea’s leading private research universities, renowned for its strong international programs and membership in prestigious global academic networks.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6c6054819086b4c0ce1d83fdc5 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aaeaf40819087fa0db989813e02 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:21 a.m.