Triple

T9403060
Position Surface form Disambiguated ID Type / Status
Subject Latvian Naval Forces E226521 entity
Predicate abbreviation P43 FINISHED
Object LNF
LNF is the abbreviation for the Latvian Naval Forces, the maritime branch of Latvia’s National Armed Forces responsible for naval defense and security.
 E795884 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: LNF | Statement: [Latvian Naval Forces, abbreviation, LNF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LNF
Context triple: [Latvian Naval Forces, abbreviation, LNF]
  • A. LNC
    LNC is the FAA location identifier for Lancaster Regional Airport in Lancaster, Texas, United States.
  • B. LNC
    LNC is the stock ticker symbol for Lincoln Financial Group, a major U.S.-based provider of insurance and financial services.
  • C. LNC
    LNC is a multi-purpose arena in Norman, Oklahoma, best known as the longtime home of the University of Oklahoma Sooners basketball teams and major events.
  • D. LNC
    LNC is the National Rail station code for Lancaster railway station in Lancashire, England.
  • E. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • 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: LNF
Triple: [Latvian Naval Forces, abbreviation, LNF]
Generated description
LNF is the abbreviation for the Latvian Naval Forces, the maritime branch of Latvia’s National Armed Forces responsible for naval defense and security.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LNF
Target entity description: LNF is the abbreviation for the Latvian Naval Forces, the maritime branch of Latvia’s National Armed Forces responsible for naval defense and security.
  • A. LNC
    LNC is the FAA location identifier for Lancaster Regional Airport in Lancaster, Texas, United States.
  • B. LNC
    LNC is the stock ticker symbol for Lincoln Financial Group, a major U.S.-based provider of insurance and financial services.
  • C. LNC
    LNC is a multi-purpose arena in Norman, Oklahoma, best known as the longtime home of the University of Oklahoma Sooners basketball teams and major events.
  • D. LNC
    LNC is the National Rail station code for Lancaster railway station in Lancashire, England.
  • E. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51bf7e5c8190850b671778496150 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1012ca6c0819098c427233d226dd2 completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d101bf84548190a28e5f24aff265b1 completed April 4, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69d1025ebf5c8190914b682117b01827 completed April 4, 2026, 12:21 p.m.
Created at: March 30, 2026, 7:46 p.m.