Triple

T21213565
Position Surface form Disambiguated ID Type / Status
Subject LAN Express E522778 entity
Predicate IATACode P418 FINISHED
Object LU
LU is the IATA airport code assigned to LAN Express, a regional airline operating within the LATAM Airlines Group in Chile.
E1472608 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: LU | Statement: [LAN Express, IATACode, LU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LU
Context triple: [LAN Express, IATACode, LU]
  • A. LU
    LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
  • B. LU
    LU is the official vehicle registration code used on license plates for the Swiss canton of Lucerne.
  • C. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • D. LU
    LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
  • E. Lu
    Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
  • 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: LU
Triple: [LAN Express, IATACode, LU]
Generated description
LU is the IATA airport code assigned to LAN Express, a regional airline operating within the LATAM Airlines Group in Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LU
Target entity description: LU is the IATA airport code assigned to LAN Express, a regional airline operating within the LATAM Airlines Group in Chile.
  • A. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • B. LU
    LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
  • C. LU
    LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
  • D. LU
    LU is the official vehicle registration code used on license plates for the Swiss canton of Lucerne.
  • E. Lu
    Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7347088488190aa764b3f4bbac44d completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ed6e6288190a6c0a10338458117 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097ff28ed0819081cea66e9ea5eaa2 completed May 17, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0981477234819093bc90f3578ddccf completed May 17, 2026, 8:50 a.m.
Created at: April 16, 2026, 3:38 p.m.