Triple

T17647901
Position Surface form Disambiguated ID Type / Status
Subject Lethbridge Hurricanes E429408 entity
Predicate abbreviation P43 FINISHED
Object LET
LET is the standard abbreviation used for the Lethbridge Hurricanes, a major junior ice hockey team in the Western Hockey League based in Lethbridge, Alberta, Canada.
 E1280398 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: LET | Statement: [Lethbridge Hurricanes, abbreviation, LET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LET
Context triple: [Lethbridge Hurricanes, abbreviation, LET]
  • A. LET
    LET is the National Rail station code assigned to Letchworth Garden City railway station in Hertfordshire, England.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. LeT
    LeT is a Pakistan-based Islamist militant organization widely known for carrying out the 2008 Mumbai terrorist attacks and being designated as a terrorist group by numerous countries.
  • D. LE
    LE is the abbreviation for Les Engagés, a centrist political party in Belgium that emerged from the reform of the former Humanist Democratic Centre (cdH).
  • E. LT
    LT is the abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
  • 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: LET
Triple: [Lethbridge Hurricanes, abbreviation, LET]
Generated description
LET is the standard abbreviation used for the Lethbridge Hurricanes, a major junior ice hockey team in the Western Hockey League based in Lethbridge, Alberta, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LET
Target entity description: LET is the standard abbreviation used for the Lethbridge Hurricanes, a major junior ice hockey team in the Western Hockey League based in Lethbridge, Alberta, Canada.
  • A. LET
    LET is the National Rail station code assigned to Letchworth Garden City railway station in Hertfordshire, England.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. LeT
    LeT is a Pakistan-based Islamist militant organization widely known for carrying out the 2008 Mumbai terrorist attacks and being designated as a terrorist group by numerous countries.
  • D. LE
    LE is the abbreviation for Les Engagés, a centrist political party in Belgium that emerged from the reform of the former Humanist Democratic Centre (cdH).
  • E. LT
    LT is the abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3a5ad8819085d4bef669fc3152 completed April 19, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0216529e288190a4ebb909d0d20f51 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021771904c819082f7080ea0b0a309 completed May 11, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a02183df9b48190ada384396946e4a3 completed May 11, 2026, 5:56 p.m.
Created at: April 10, 2026, 6:05 a.m.