Triple

T10294717
Position Surface form Disambiguated ID Type / Status
Subject LATAM Ecuador E241453 entity
Predicate ICAOCode P419 FINISHED
Object LNE
LNE is the ICAO airline designator assigned to LATAM Airlines Ecuador, a regional subsidiary of the LATAM Airlines Group based in Ecuador.
 E855941 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: LNE | Statement: [LATAM Ecuador, ICAOCode, LNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LNE
Context triple: [LATAM Ecuador, ICAOCode, LNE]
  • A. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • B. LNS
    LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • C. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • D. LN
    LN is the postcode area designation for Lincoln and its surrounding region in the United Kingdom.
  • E. 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.
  • 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: LNE
Triple: [LATAM Ecuador, ICAOCode, LNE]
Generated description
LNE is the ICAO airline designator assigned to LATAM Airlines Ecuador, a regional subsidiary of the LATAM Airlines Group based in Ecuador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LNE
Target entity description: LNE is the ICAO airline designator assigned to LATAM Airlines Ecuador, a regional subsidiary of the LATAM Airlines Group based in Ecuador.
  • A. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • B. LNS
    LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • C. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • D. LN
    LN is the postcode area designation for Lincoln and its surrounding region in the United Kingdom.
  • E. 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.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d5e0f88190be3e23ba2511a1e9 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d23f49081909aea149c6b219354 completed April 9, 2026, 3:29 a.m.
NEDg Description generation batch_69d73182d7548190ac15093aa7001db7 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7336c06308190ac72154134a26842 completed April 9, 2026, 5:04 a.m.
Created at: April 6, 2026, 11:42 a.m.