Triple
T4893708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBN |
E109622
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | MBN |
E109622
|
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: MBN | Statement: [MBN, hasAbbreviation, MBN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBN Context triple: [MBN, hasAbbreviation, MBN]
-
A.
MBN
chosen
MBN is a U.S.-government-funded media organization that operates Arabic-language television, radio, and digital news services targeting audiences in the Middle East and North Africa.
-
B.
MBJ
MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
-
C.
MBK
MBK is the station code for Muswellbrook railway station in New South Wales, Australia.
-
D.
MBC
MBC is a major South Korean television network known for broadcasting a wide range of entertainment, news, and cultural programs domestically and internationally.
-
E.
MBZ
MBZ is the widely used acronym for Mohamed bin Zayed Al Nahyan, the President of the United Arab Emirates and Ruler of Abu Dhabi.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e26b6808190a84e3e8466f2b4e9 |
completed | March 20, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fc2f00881908cae1e68df2019e3 |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:28 p.m.