Triple

T3049272
Position Surface form Disambiguated ID Type / Status
Subject Longines Global Champions Tour E83527 entity
Predicate abbreviation P43 FINISHED
Object LGCT
LGCT is a premier international show jumping series that brings together the world’s top riders and horses at elite venues around the globe.
 E323093 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: LGCT | Statement: [Longines Global Champions Tour, abbreviation, LGCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LGCT
Context triple: [Longines Global Champions Tour, abbreviation, LGCT]
  • A. LGC
    LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
  • B. LCGFT
    LCGFT is the standard controlled vocabulary developed by the Library of Congress for describing the genre and form of library and archival materials.
  • C. LCT
    LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
  • D. LCG
    LCG is the National Rail station code assigned to Lochgelly railway station in Fife, Scotland.
  • E. LCDGT
    LCDGT is the standard controlled vocabulary developed by the Library of Congress to describe demographic characteristics of creators and contributors in library and archival metadata.
  • 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: LGCT
Triple: [Longines Global Champions Tour, abbreviation, LGCT]
Generated description
LGCT is a premier international show jumping series that brings together the world’s top riders and horses at elite venues around the globe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LGCT
Target entity description: LGCT is a premier international show jumping series that brings together the world’s top riders and horses at elite venues around the globe.
  • A. LGC
    LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
  • B. LCGFT
    LCGFT is the standard controlled vocabulary developed by the Library of Congress for describing the genre and form of library and archival materials.
  • C. LCT
    LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
  • D. LCG
    LCG is the National Rail station code assigned to Lochgelly railway station in Fife, Scotland.
  • E. LCDGT
    LCDGT is the standard controlled vocabulary developed by the Library of Congress to describe demographic characteristics of creators and contributors in library and archival metadata.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bb00a348190877c9cbf0f13cba4 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eef7d1e081908535b7d972a147eb completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1f0ad56dc81909c96018e34345fda completed March 11, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69b1f13a34c88190aa829d8d87a5d29b completed March 11, 2026, 10:48 p.m.
Created at: March 8, 2026, 3:01 p.m.