Triple

T8686531
Position Surface form Disambiguated ID Type / Status
Subject Trabzon Airport E206172 entity
Predicate ICAOcode P419 FINISHED
Object LTCG
LTCG is the ICAO airport code for Trabzon Airport, a public airport serving the city of Trabzon on Turkey’s Black Sea coast.
 E751363 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: LTCG | Statement: [Trabzon Airport, ICAOcode, LTCG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LTCG
Context triple: [Trabzon Airport, ICAOcode, LTCG]
  • A. LTC
    LTC is the commonly used abbreviation for the London Transit Commission, the public transportation agency serving the city of London, Ontario, Canada.
  • B. LCG
    LCG is the National Rail station code assigned to Lochgelly railway station in Fife, Scotland.
  • C. LCGFT
    LCGFT is the standard controlled vocabulary developed by the Library of Congress for describing the genre and form of library and archival materials.
  • D. LGC
    LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
  • E. LOT
    LOT is the national flag carrier airline of Poland, headquartered in Warsaw and operating an extensive network of domestic and international flights.
  • 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: LTCG
Triple: [Trabzon Airport, ICAOcode, LTCG]
Generated description
LTCG is the ICAO airport code for Trabzon Airport, a public airport serving the city of Trabzon on Turkey’s Black Sea coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LTCG
Target entity description: LTCG is the ICAO airport code for Trabzon Airport, a public airport serving the city of Trabzon on Turkey’s Black Sea coast.
  • A. LTC
    LTC is the commonly used abbreviation for the London Transit Commission, the public transportation agency serving the city of London, Ontario, Canada.
  • B. LCG
    LCG is the National Rail station code assigned to Lochgelly railway station in Fife, Scotland.
  • C. LCGFT
    LCGFT is the standard controlled vocabulary developed by the Library of Congress for describing the genre and form of library and archival materials.
  • D. LGC
    LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
  • E. LOT
    LOT is the national flag carrier airline of Poland, headquartered in Warsaw and operating an extensive network of domestic and international flights.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3cd888c81909fb1ece99988db36 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef521010081908815779c0bd2aac9 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef727ea088190bf40eaf5424ae864 completed April 2, 2026, 11:09 p.m.
Created at: March 30, 2026, 6:33 p.m.