Triple

T16081214
Position Surface form Disambiguated ID Type / Status
Subject Yanbu Airport E390113 entity
Predicate IATACode P418 FINISHED
Object YNB
YNB is the IATA airport code for Yanbu Airport, serving the city of Yanbu in Saudi Arabia.
E1193123 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: YNB | Statement: [Yanbu Airport, IATACode, YNB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YNB
Context triple: [Yanbu Airport, IATACode, YNB]
  • A. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • B. YBNA
    YBNA is the ICAO airport code for Ballina Byron Gateway Airport, a regional airport serving the Ballina and Byron Bay area in New South Wales, Australia.
  • C. NBY
    NBY is the abbreviation commonly used for the National Bank of Yugoslavia, the former central bank of the Socialist Federal Republic of Yugoslavia.
  • D. NBY
    NBY is the three-letter National Rail station code for Newbury railway station in Berkshire, England.
  • E. NYD
    NYD is the commonly used abbreviation for Botswana’s Ntlo ya Dikgosi, the national House of Chiefs that advises on constitutional and traditional matters.
  • 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: YNB
Triple: [Yanbu Airport, IATACode, YNB]
Generated description
YNB is the IATA airport code for Yanbu Airport, serving the city of Yanbu in Saudi Arabia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: YNB
Target entity description: YNB is the IATA airport code for Yanbu Airport, serving the city of Yanbu in Saudi Arabia.
  • A. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • B. YBNA
    YBNA is the ICAO airport code for Ballina Byron Gateway Airport, a regional airport serving the Ballina and Byron Bay area in New South Wales, Australia.
  • C. NBY
    NBY is the abbreviation commonly used for the National Bank of Yugoslavia, the former central bank of the Socialist Federal Republic of Yugoslavia.
  • D. NBY
    NBY is the three-letter National Rail station code for Newbury railway station in Berkshire, England.
  • E. NYD
    NYD is the commonly used abbreviation for Botswana’s Ntlo ya Dikgosi, the national House of Chiefs that advises on constitutional and traditional matters.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1844a5c68819086a13c93a787b436 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48adec081909623355eabee472c completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe6af1c4081908b57f4dc485fbb14 completed May 10, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69ffe769d56081908f723e92d327e315 completed May 10, 2026, 2:03 a.m.
Created at: April 10, 2026, 4:57 a.m.