Triple

T6862479
Position Surface form Disambiguated ID Type / Status
Subject Essendon Airport E158314 entity
Predicate ICAOcode P419 FINISHED
Object YMEN
YMEN is the ICAO airport code assigned to Essendon Airport in Melbourne, Australia.
 E624397 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: YMEN | Statement: [Essendon Airport, ICAOcode, YMEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YMEN
Context triple: [Essendon Airport, ICAOcode, YMEN]
  • A. YEM
    YEM is the three-letter ISO 3166-1 alpha-3 country code assigned to Yemen for international identification and data standards.
  • B. YU
    YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • C. YUSU
    YUSU is the students’ union representing and supporting students at the University of York through services, activities, and advocacy.
  • D. YTEM
    YTEM is the ICAO airport code for Temora Airport, a regional airfield located in Temora, New South Wales, Australia.
  • E. Yei
    Yei is a town in southwestern South Sudan that serves as a regional hub near the borders with Uganda and the Democratic Republic of the Congo.
  • 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: YMEN
Triple: [Essendon Airport, ICAOcode, YMEN]
Generated description
YMEN is the ICAO airport code assigned to Essendon Airport in Melbourne, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YMEN
Target entity description: YMEN is the ICAO airport code assigned to Essendon Airport in Melbourne, Australia.
  • A. YEM
    YEM is the three-letter ISO 3166-1 alpha-3 country code assigned to Yemen for international identification and data standards.
  • B. YU
    YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • C. YUSU
    YUSU is the students’ union representing and supporting students at the University of York through services, activities, and advocacy.
  • D. YTEM
    YTEM is the ICAO airport code for Temora Airport, a regional airfield located in Temora, New South Wales, Australia.
  • E. Yei
    Yei is a town in southwestern South Sudan that serves as a regional hub near the borders with Uganda and the Democratic Republic of the Congo.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d887d6648190a0c2d1cb1b284bfe completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fed3e788190b2b68fc93173f73e completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c7361177ac8190b1e06cb15d258d0f completed March 28, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69c7381015a081909f9b32732f826d2c completed March 28, 2026, 2:08 a.m.
Created at: March 27, 2026, 2:21 p.m.