Triple

T12400126
Position Surface form Disambiguated ID Type / Status
Subject Lion Air E296229 entity
Predicate ICAOcode P419 FINISHED
Object LNI
LNI is the ICAO airline designator used for Lion Air, a major Indonesian low-cost carrier.
 E981752 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: LNI | Statement: [Lion Air, ICAOcode, LNI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LNI
Context triple: [Lion Air, ICAOcode, LNI]
  • A. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • B. LIN
    LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
  • C. 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.
  • D. LNS
    LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • 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: LNI
Triple: [Lion Air, ICAOcode, LNI]
Generated description
LNI is the ICAO airline designator used for Lion Air, a major Indonesian low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LNI
Target entity description: LNI is the ICAO airline designator used for Lion Air, a major Indonesian low-cost carrier.
  • A. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • B. LIN
    LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
  • C. 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.
  • D. LNS
    LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9401cbfd481908ee6e765da3d12cb completed April 10, 2026, 6:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63482af8c8190b277b36371979f5e completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f636cf7d808190bf3c1c84bdaf414e completed May 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69f6380223d08190959e524ad146d0e0 completed May 2, 2026, 5:44 p.m.
Created at: April 8, 2026, 9:55 p.m.