Triple

T7634412
Position Surface form Disambiguated ID Type / Status
Subject Ljubljana Jože Pučnik Airport E172837 entity
Predicate ICAOcode P419 FINISHED
Object LJLJ
LJLJ is the ICAO airport code for Ljubljana Jože Pučnik Airport, the main international airport serving Slovenia’s capital, Ljubljana.
E678474 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: LJLJ | Statement: [Ljubljana Jože Pučnik Airport, ICAOcode, LJLJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LJLJ
Context triple: [Ljubljana Jože Pučnik Airport, ICAOcode, LJLJ]
  • A. JLJ
    JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
  • B. 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.
  • C. LJ
    LJ is the IATA airline designator used for the South Korean low-cost carrier Jin Air.
  • D. LJ
    LJ is the nickname of Larry Johnson, a former NBA All-Star forward best known for his time with the Charlotte Hornets and New York Knicks in the 1990s.
  • E. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
  • 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: LJLJ
Triple: [Ljubljana Jože Pučnik Airport, ICAOcode, LJLJ]
Generated description
LJLJ is the ICAO airport code for Ljubljana Jože Pučnik Airport, the main international airport serving Slovenia’s capital, Ljubljana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LJLJ
Target entity description: LJLJ is the ICAO airport code for Ljubljana Jože Pučnik Airport, the main international airport serving Slovenia’s capital, Ljubljana.
  • A. JLJ
    JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
  • B. 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.
  • C. LJ
    LJ is the IATA airline designator used for the South Korean low-cost carrier Jin Air.
  • D. LJ
    LJ is the nickname of Larry Johnson, a former NBA All-Star forward best known for his time with the Charlotte Hornets and New York Knicks in the 1990s.
  • E. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa72f2881908479049dd8d181a4 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870be4e18819089781c7493dea13b completed March 29, 2026, 12:22 a.m.
NEDg Description generation batch_69c87573c220819089e4f10f48669145 completed March 29, 2026, 12:42 a.m.
NED2 Entity disambiguation (via description) batch_69c875e583708190b6d94d915b3461cb completed March 29, 2026, 12:44 a.m.
Created at: March 27, 2026, 3:57 p.m.