Triple

T6721723
Position Surface form Disambiguated ID Type / Status
Subject EuroAtlantic Airways E153410 entity
Predicate IATACode P418 FINISHED
Object YU
YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
 E612839 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: YU | Statement: [EuroAtlantic Airways, IATACode, YU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YU
Context triple: [EuroAtlantic Airways, IATACode, YU]
  • A. YUSU
    YUSU is the students’ union representing and supporting students at the University of York through services, activities, and advocacy.
  • B. Yan
    Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
  • C. YB
    YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
  • D. YUC
    YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • E. Yun
    Yun is the Chinese given name of Jack Ma, the billionaire co-founder and former executive chairman of Alibaba Group.
  • 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: YU
Triple: [EuroAtlantic Airways, IATACode, YU]
Generated description
YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YU
Target entity description: YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • A. YUSU
    YUSU is the students’ union representing and supporting students at the University of York through services, activities, and advocacy.
  • B. Yan
    Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
  • C. YB
    YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
  • D. YUC
    YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • E. Yun
    Yun is the Chinese given name of Jack Ma, the billionaire co-founder and former executive chairman of Alibaba Group.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d13861a08190ad19a16dcd76c908 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a14ebc819092cc40f522540f1a completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c7023cc3d08190810fc8482326e7b9 completed March 27, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69c703d67ff481908476b97fee97959a completed March 27, 2026, 10:25 p.m.
Created at: March 27, 2026, 2:07 p.m.