Triple
T13007200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airnorth |
E322318
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
ANO
ANO is the ICAO airline designator assigned to Airnorth, a regional airline based in Australia.
|
E1015899
|
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: ANO | Statement: [Airnorth, ICAOCode, ANO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANO Context triple: [Airnorth, ICAOCode, ANO]
-
A.
ANE
ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
-
B.
ANE
ANE is the ICAO airline designator assigned to Iberia Regional, the regional airline brand operated by Air Nostrum in Spain.
-
C.
ANA
ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
-
D.
ANA
ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
-
E.
ANA
ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
- 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: ANO Triple: [Airnorth, ICAOCode, ANO]
Generated description
ANO is the ICAO airline designator assigned to Airnorth, a regional airline based in Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ANO Target entity description: ANO is the ICAO airline designator assigned to Airnorth, a regional airline based in Australia.
-
A.
ANE
ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
-
B.
ANE
ANE is the ICAO airline designator assigned to Iberia Regional, the regional airline brand operated by Air Nostrum in Spain.
-
C.
ANA
ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
-
D.
ANA
ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
-
E.
ANA
ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9b27ec8190815c40a05b9ba7d0 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c109e59481909fc46b152034c6a9 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c20a1eb881908a28dc884c2005ef |
completed | May 3, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34b9ec08190bb29458b6f43c388 |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 9, 2026, 8:48 p.m.