Triple
T13187277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balkanabat Airport |
E313888
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object |
BKN
BKN is the IATA airport code for Balkanabat Airport in Turkmenistan.
|
E1026039
|
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: BKN | Statement: [Balkanabat Airport, hasIATACode, BKN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BKN Context triple: [Balkanabat Airport, hasIATACode, BKN]
-
A.
BKN
BKN is the standard three-letter abbreviation used for the Brooklyn Nets NBA franchise.
-
B.
BKN
BKN is the Indian Railways station code for Bikaner Junction, a major railway station in the city of Bikaner, Rajasthan.
-
C.
Overcast
Overcast is a popular iOS podcast player app known for its smart features, clean design, and development by Marco Arment.
-
D.
Partly Cloudy
Partly Cloudy is a Pixar animated short film that humorously and tenderly explores the relationship between a cloud that creates unusual baby animals and the stork who delivers them.
-
E.
BK3
BK3 is a jam band led by Grateful Dead drummer Bill Kreutzmann, known for live improvisational rock performances.
- 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: BKN Triple: [Balkanabat Airport, hasIATACode, BKN]
Generated description
BKN is the IATA airport code for Balkanabat Airport in Turkmenistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BKN Target entity description: BKN is the IATA airport code for Balkanabat Airport in Turkmenistan.
-
A.
BKN
BKN is the standard three-letter abbreviation used for the Brooklyn Nets NBA franchise.
-
B.
BKN
BKN is the Indian Railways station code for Bikaner Junction, a major railway station in the city of Bikaner, Rajasthan.
-
C.
Overcast
Overcast is a popular iOS podcast player app known for its smart features, clean design, and development by Marco Arment.
-
D.
Partly Cloudy
Partly Cloudy is a Pixar animated short film that humorously and tenderly explores the relationship between a cloud that creates unusual baby animals and the stork who delivers them.
-
E.
BK3
BK3 is a jam band led by Grateful Dead drummer Bill Kreutzmann, known for live improvisational rock performances.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4b663c8190b0b18f0785f7b57d |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f7a304819081c4f51631948cbd |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f694f8c48190adce4cddbf63777f |
completed | May 3, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f7d8bfa0819097b3d9175bc56933 |
completed | May 3, 2026, 7:23 a.m. |
Created at: April 9, 2026, 9:15 p.m.