Triple
T19289852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tula State University |
E482411
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | TulSU |
—
|
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: TulSU | Statement: [Tula State University, shortName, TulSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TulSU Context triple: [Tula State University, shortName, TulSU]
-
A.
Tula State University
chosen
Tula State University is a major public higher education and research institution located in the city of Tula, Russia.
-
B.
TUL
TUL is the three-letter IATA airport code for Tulsa International Airport, a commercial and military airfield serving Tulsa, Oklahoma.
-
C.
TSU
TSU is the Titan Student Union, a central hub on the California State University, Fullerton campus that provides student services, event spaces, and social gathering areas.
-
D.
TSU
TSU is the commonly used abbreviation for Truman State University, a public liberal arts and sciences university located in Kirksville, Missouri.
-
E.
TSU
TSU is the commonly used abbreviation for Ivane Javakhishvili Tbilisi State University, a major public research university in Tbilisi, Georgia.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc050a888190ac204d1e736200c5 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.