Triple
T317267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka International Airport |
E7734
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
RJOO
RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
|
E40876
|
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: RJOO | Statement: [Osaka International Airport, ICAOcode, RJOO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RJOO Context triple: [Osaka International Airport, ICAOcode, RJOO]
-
A.
Rappen
Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
-
B.
RYAAY
RYAAY is the NASDAQ-listed American Depositary Receipt (ADR) representing shares of Ryanair Holdings plc, the Irish low-cost airline group.
-
C.
JBLU
JBLU is the stock ticker symbol for JetBlue Airways, a major U.S.-based low-cost airline.
-
D.
Rondo
Rondo is a surname most prominently associated with Rajon Rondo, an American professional basketball player and NBA champion known for his playmaking and defensive skills.
-
E.
Koop
Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
- 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: RJOO Triple: [Osaka International Airport, ICAOcode, RJOO]
Generated description
RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RJOO Target entity description: RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
-
A.
Rappen
Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
-
B.
RYAAY
RYAAY is the NASDAQ-listed American Depositary Receipt (ADR) representing shares of Ryanair Holdings plc, the Irish low-cost airline group.
-
C.
JBLU
JBLU is the stock ticker symbol for JetBlue Airways, a major U.S.-based low-cost airline.
-
D.
Rondo
Rondo is a surname most prominently associated with Rajon Rondo, an American professional basketball player and NBA champion known for his playmaking and defensive skills.
-
E.
Koop
Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea65ca7081908093e6aaaf2d34f7 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8b8d7d88190b43f7b6b0289445f |
completed | March 1, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69a3c964b7a48190afa7cada4a499739 |
completed | March 1, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3c9bc3eec81909e6d1b7af6cf7d58 |
completed | March 1, 2026, 5:08 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.