Triple

T1417770
Position Surface form Disambiguated ID Type / Status
Subject Sabiha Gokcen International Airport E31957 entity
Predicate ICAOcode P419 FINISHED
Object LTFJ
LTFJ is the ICAO airport code for Istanbul Sabiha Gökçen International Airport, a major international airport serving the Asian side of Istanbul, Turkey.
 E161449 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: LTFJ | Statement: [Sabiha Gokcen International Airport, ICAOcode, LTFJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LTFJ
Context triple: [Sabiha Gokcen International Airport, ICAOcode, LTFJ]
  • A. LJ
    LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
  • B. LBF
    LBF is the IATA airport code for North Platte Regional Airport serving North Platte, Nebraska.
  • C. Tfng
    Tfng is the ISO 15924 four-letter code assigned to the Tifinagh script used for writing various Berber (Amazigh) languages.
  • D. LIF
    LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
  • E. FML
    FML is a moody, introspective Kanye West song from *The Life of Pablo* that explores emotional turmoil, relationships, and mental health over dark, atmospheric production.
  • 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: LTFJ
Triple: [Sabiha Gokcen International Airport, ICAOcode, LTFJ]
Generated description
LTFJ is the ICAO airport code for Istanbul Sabiha Gökçen International Airport, a major international airport serving the Asian side of Istanbul, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LTFJ
Target entity description: LTFJ is the ICAO airport code for Istanbul Sabiha Gökçen International Airport, a major international airport serving the Asian side of Istanbul, Turkey.
  • A. LJ
    LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
  • B. LBF
    LBF is the IATA airport code for North Platte Regional Airport serving North Platte, Nebraska.
  • C. Tfng
    Tfng is the ISO 15924 four-letter code assigned to the Tifinagh script used for writing various Berber (Amazigh) languages.
  • D. LIF
    LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
  • E. FML
    FML is a moody, introspective Kanye West song from *The Life of Pablo* that explores emotional turmoil, relationships, and mental health over dark, atmospheric production.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5833bb88190bcaf8cf46264ab26 completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace61d60d48190a72aaa68264997eb completed March 8, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69ace6d8e35c8190bff4beff48977efc completed March 8, 2026, 3:02 a.m.
Created at: March 1, 2026, 7:59 p.m.