Triple

T11357150
Position Surface form Disambiguated ID Type / Status
Subject Split Airport E268985 entity
Predicate ICAO code P419 FINISHED
Object LDSP
LDSP is the ICAO airport code for Split Airport, an international airport serving the city of Split and the Dalmatian coast in Croatia.
 E920913 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: LDSP | Statement: [Split Airport, ICAO code, LDSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LDSP
Context triple: [Split Airport, ICAO code, LDSP]
  • A. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • B. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • C. LSPE
    LSPE is a lunar science experiment designed to study the Moon’s internal structure by measuring and analyzing seismic activity on its surface.
  • D. LDPB
    LDPB is a Belarusian political party known as the Liberal Democratic Party of Belarus.
  • E. LAS
    LAS is an abbreviation commonly used for the College of Liberal Arts and Sciences at many universities, encompassing a broad range of humanities, social sciences, and natural sciences disciplines.
  • 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: LDSP
Triple: [Split Airport, ICAO code, LDSP]
Generated description
LDSP is the ICAO airport code for Split Airport, an international airport serving the city of Split and the Dalmatian coast in Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LDSP
Target entity description: LDSP is the ICAO airport code for Split Airport, an international airport serving the city of Split and the Dalmatian coast in Croatia.
  • A. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • B. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • C. LSPE
    LSPE is a lunar science experiment designed to study the Moon’s internal structure by measuring and analyzing seismic activity on its surface.
  • D. LDPB
    LDPB is a Belarusian political party known as the Liberal Democratic Party of Belarus.
  • E. LAS
    LAS is an abbreviation commonly used for the College of Liberal Arts and Sciences at many universities, encompassing a broad range of humanities, social sciences, and natural sciences disciplines.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea419afc8190b3a93141d015ebdf completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543b3cbd88190bb479ac88f8ca710 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bc97b08190a87371a1e1e6f9c5 completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.