Triple
T12329364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouzinkie |
E293916
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
KOZ
KOZ is the IATA airport code for Ouzinkie Airport, a public airport serving the community of Ouzinkie in Alaska, United States.
|
E973401
|
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: KOZ | Statement: [Ouzinkie, airportIATAcode, KOZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KOZ Context triple: [Ouzinkie, airportIATAcode, KOZ]
-
A.
KO
KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
-
B.
KO
KO is the line symbol used to represent the Keiō New Line, a railway line in the Tokyo metropolitan area operated by Keio Corporation.
-
C.
KOJ
KOJ is the three-letter IATA airport code for Kagoshima Airport in Kagoshima Prefecture, Japan.
-
D.
Ko
Ko is a Japanese given-name element commonly used in female names, often carrying meanings like “child” depending on the kanji used.
-
E.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
- 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: KOZ Triple: [Ouzinkie, airportIATAcode, KOZ]
Generated description
KOZ is the IATA airport code for Ouzinkie Airport, a public airport serving the community of Ouzinkie in Alaska, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KOZ Target entity description: KOZ is the IATA airport code for Ouzinkie Airport, a public airport serving the community of Ouzinkie in Alaska, United States.
-
A.
KO
KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
-
B.
KO
KO is the line symbol used to represent the Keiō New Line, a railway line in the Tokyo metropolitan area operated by Keio Corporation.
-
C.
KOJ
KOJ is the three-letter IATA airport code for Kagoshima Airport in Kagoshima Prefecture, Japan.
-
D.
Ko
Ko is a Japanese given-name element commonly used in female names, often carrying meanings like “child” depending on the kanji used.
-
E.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8f0c708190ac16a391089ab747 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5e20cc8190a84f50ddded76974 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62041f2408190ad320fec5283abdd |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.