Triple

T6298936
Position Surface form Disambiguated ID Type / Status
Subject Iberia Regional E141201 entity
Predicate ICAOCode P419 FINISHED
Object ANE
ANE is the ICAO airline designator assigned to Iberia Regional, the regional airline brand operated by Air Nostrum in Spain.
 E581500 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: ANE | Statement: [Iberia Regional, ICAOCode, ANE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ANE
Context triple: [Iberia Regional, ICAOCode, ANE]
  • A. ANE
    ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
  • B. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • C. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • 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: ANE
Triple: [Iberia Regional, ICAOCode, ANE]
Generated description
ANE is the ICAO airline designator assigned to Iberia Regional, the regional airline brand operated by Air Nostrum in Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ANE
Target entity description: ANE is the ICAO airline designator assigned to Iberia Regional, the regional airline brand operated by Air Nostrum in Spain.
  • A. ANE
    ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
  • B. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • C. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • D. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • E. ANA
    ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ddaa48190b3ea8061fc1d9dc4 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5199612948190b5ab22cf401686c2 completed March 26, 2026, 11:33 a.m.
NEDg Description generation batch_69c51e1f031c819099eeec59da88bae9 completed March 26, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69c51eacb37c819080f139b8f4f2f38c completed March 26, 2026, 11:55 a.m.
Created at: March 22, 2026, 4:27 p.m.