Triple

T11279668
Position Surface form Disambiguated ID Type / Status
Subject Taree Airport E267029 entity
Predicate ICAOcode P419 FINISHED
Object YTRE
YTRE is the ICAO airport code for Taree Airport, a regional airport serving the Taree area in New South Wales, Australia.
 E915217 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: YTRE | Statement: [Taree Airport, ICAOcode, YTRE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YTRE
Context triple: [Taree Airport, ICAOcode, YTRE]
  • A. YT
    YT is the official Canada Post two-letter postal abbreviation for the Yukon territory in northwestern Canada.
  • B. YRK
    YRK is the National Rail station code for York railway station, a major historic rail hub in North Yorkshire, England.
  • C. YLE
    YLE is Finland’s national public broadcasting company, providing television, radio, and online services across the country.
  • D. Ty
    Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
  • E. Yat
    Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
  • 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: YTRE
Triple: [Taree Airport, ICAOcode, YTRE]
Generated description
YTRE is the ICAO airport code for Taree Airport, a regional airport serving the Taree area in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YTRE
Target entity description: YTRE is the ICAO airport code for Taree Airport, a regional airport serving the Taree area in New South Wales, Australia.
  • A. YT
    YT is the official Canada Post two-letter postal abbreviation for the Yukon territory in northwestern Canada.
  • B. YRK
    YRK is the National Rail station code for York railway station, a major historic rail hub in North Yorkshire, England.
  • C. YLE
    YLE is Finland’s national public broadcasting company, providing television, radio, and online services across the country.
  • D. Ty
    Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
  • E. Yat
    Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e969b3448190940e2bd499d2d7de completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f46308348190a47f73030cae0be5 completed April 19, 2026, 3:27 p.m.
NEDg Description generation batch_69e4f95be4b08190bebb2078406cb7ba completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff6b7d248190b4dd885280e09a8e completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:31 p.m.