Triple

T14517796
Position Surface form Disambiguated ID Type / Status
Subject Alliance Air E340568 entity
Predicate ICAOCode P419 FINISHED
Object LLR
LLR is the ICAO airline designator assigned to Alliance Air, an Indian regional airline.
 E1103157 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: LLR | Statement: [Alliance Air, ICAOCode, LLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LLR
Context triple: [Alliance Air, ICAOCode, LLR]
  • A. LLER
    LLER is the ICAO airport code assigned to Ramon Airport, an international airport in southern Israel serving the Eilat region.
  • B. Lrrr
    Lrrr is the blustery, warlike ruler of the planet Omicron Persei 8 from the animated television series Futurama.
  • C. RRL
    RRL is a Ralph Lauren sub-brand inspired by vintage Americana and rugged workwear, offering heritage-style clothing and accessories with a focus on craftsmanship and authenticity.
  • D. LR
    LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
  • E. LR
    LR is the ISO 3166-1 alpha-2 country code for Liberia, a West African nation on the Atlantic coast.
  • 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: LLR
Triple: [Alliance Air, ICAOCode, LLR]
Generated description
LLR is the ICAO airline designator assigned to Alliance Air, an Indian regional airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LLR
Target entity description: LLR is the ICAO airline designator assigned to Alliance Air, an Indian regional airline.
  • A. LLER
    LLER is the ICAO airport code assigned to Ramon Airport, an international airport in southern Israel serving the Eilat region.
  • B. Lrrr
    Lrrr is the blustery, warlike ruler of the planet Omicron Persei 8 from the animated television series Futurama.
  • C. RRL
    RRL is a Ralph Lauren sub-brand inspired by vintage Americana and rugged workwear, offering heritage-style clothing and accessories with a focus on craftsmanship and authenticity.
  • D. LR
    LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
  • E. LR
    LR is the ISO 3166-1 alpha-2 country code for Liberia, a West African nation on the Atlantic coast.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6f50208190b687b505f5cd1aa2 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da80dc88190afa96760efb0c7de completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6f24431c81908a25ad81c28da56d completed May 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd6ff5a58881909987fa653e58a197 completed May 8, 2026, 5:09 a.m.
Created at: April 10, 2026, 1:22 a.m.