Triple
T23504627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UBN |
E572246
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | UBN |
—
|
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: UBN | Statement: [UBN, IATAcode, UBN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UBN Context triple: [UBN, IATAcode, UBN]
-
A.
UBN
chosen
UBN is the IATA airport code for the new Chinggis Khaan International Airport serving Ulaanbaatar, Mongolia.
-
B.
UbU
UbU is the commonly used abbreviation for the Swedish Riksdag’s Committee on Education, which handles national education and research policy matters.
-
C.
uB
uB is the commonly used abbreviation for the University of Burgundy, a public university located in Dijon, France.
-
D.
UB
UB is a major public research university in Romania’s capital, known for its wide range of academic programs and significant contribution to higher education and research in Eastern Europe.
-
E.
UB
UB is the commonly used abbreviation for the University at Buffalo, a major public research university in the State University of New York (SUNY) system.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fedbec8190b183661edaba4cd4 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:07 p.m.