Triple
T22848910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Шинжлэх Ухаан Технологийн Их Сургууль |
E566301
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | MUST |
—
|
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: MUST | Statement: [Шинжлэх Ухаан Технологийн Их Сургууль, hasAbbreviation, MUST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MUST Context triple: [Шинжлэх Ухаан Технологийн Их Сургууль, hasAbbreviation, MUST]
-
A.
MUST
chosen
MUST is a leading Mongolian university specializing in science, engineering, and technology education and research.
-
B.
Muster
Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
-
C.
MUT
MUT is the station code for Meerut Cantt railway station in Uttar Pradesh, India.
-
D.
Mustt Mustt
Mustt Mustt is a groundbreaking fusion album by Pakistani qawwali singer Nusrat Fateh Ali Khan that blends traditional Sufi devotional music with contemporary Western sounds.
-
E.
MOR
MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8aceb88190b137d17a7510fee4 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.