Triple
T6830307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mackay Airport |
E157119
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
YBMK
YBMK is the ICAO airport code for Mackay Airport, a regional airport serving the city of Mackay in Queensland, Australia.
|
E621026
|
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: YBMK | Statement: [Mackay Airport, ICAOcode, YBMK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YBMK Context triple: [Mackay Airport, ICAOcode, YBMK]
-
A.
Y-blokka
Y-blokka was a modernist government office building in Oslo, Norway, renowned for its distinctive Y-shaped design and integrated Pablo Picasso murals.
-
B.
YB
YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
-
C.
MBK
MBK is the station code for Muswellbrook railway station in New South Wales, Australia.
-
D.
KMK
KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
-
E.
Bikin
Bikin is a town in Khabarovsk Krai in Russia, known as a local administrative and transport center near the Bikin River in the Russian Far East.
- 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: YBMK Triple: [Mackay Airport, ICAOcode, YBMK]
Generated description
YBMK is the ICAO airport code for Mackay Airport, a regional airport serving the city of Mackay in Queensland, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YBMK Target entity description: YBMK is the ICAO airport code for Mackay Airport, a regional airport serving the city of Mackay in Queensland, Australia.
-
A.
Y-blokka
Y-blokka was a modernist government office building in Oslo, Norway, renowned for its distinctive Y-shaped design and integrated Pablo Picasso murals.
-
B.
YB
YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
-
C.
MBK
MBK is the station code for Muswellbrook railway station in New South Wales, Australia.
-
D.
KMK
KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
-
E.
Bikin
Bikin is a town in Khabarovsk Krai in Russia, known as a local administrative and transport center near the Bikin River in the Russian Far East.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62820808190ad3c244893e88699 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723f73eec81908c666888a19c0b29 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c725139d748190ba9588c31b5188bd |
completed | March 28, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c725749efc8190b00fb7f2e44150dd |
completed | March 28, 2026, 12:48 a.m. |
Created at: March 27, 2026, 2:18 p.m.