Triple
T12575577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBK Center |
E300195
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
MBK
MBK is a large, popular shopping and entertainment complex in Bangkok, Thailand, known for its wide range of affordable goods and bustling atmosphere.
|
E990547
|
NE FINISHED |
How this triple was built (4 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: MBK | Statement: [MBK Center, hasAbbreviation, MBK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBK Context triple: [MBK Center, hasAbbreviation, MBK]
-
A.
MBK
MBK is the station code for Muswellbrook railway station in New South Wales, Australia.
-
B.
MBJ
MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
-
C.
BKB
BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
-
D.
MBN
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.
-
E.
YBMK
YBMK is the ICAO airport code for Mackay Airport, a regional airport serving the city of Mackay in Queensland, Australia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MBK Triple: [MBK Center, hasAbbreviation, MBK]
Generated description
MBK is a large, popular shopping and entertainment complex in Bangkok, Thailand, known for its wide range of affordable goods and bustling atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MBK Target entity description: MBK is a large, popular shopping and entertainment complex in Bangkok, Thailand, known for its wide range of affordable goods and bustling atmosphere.
-
A.
MBK
MBK is the station code for Muswellbrook railway station in New South Wales, Australia.
-
B.
MBJ
MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
-
C.
BKB
BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
-
D.
MBN
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.
-
E.
YBMK
YBMK is the ICAO airport code for Mackay Airport, a regional airport serving the city of Mackay in Queensland, Australia.
- F. None of above. chosen
Provenance (5 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a629fc8190a1c3b6777aad4527 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65597dc70819089ddc1794e9bd1b7 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f656f812bc8190a2a691285fc30e03 |
completed | May 2, 2026, 7:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657ea0c6c8190992a0101904e92f2 |
completed | May 2, 2026, 8 p.m. |
Created at: April 9, 2026, 4:46 p.m.