Triple

T19561075
Position Surface form Disambiguated ID Type / Status
Subject Ludhiana Airport E489450 entity
Predicate IATAcode P418 FINISHED
Object LUH
LUH is the IATA airport code for Ludhiana Airport, a domestic airport serving the city of Ludhiana in the Indian state of Punjab.
 E1382945 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: LUH | Statement: [Ludhiana Airport, IATAcode, LUH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LUH
Context triple: [Ludhiana Airport, IATAcode, LUH]
  • A. LUF
    LUF is the youth wing of the Swedish Liberal Party, engaging young people in liberal politics and advocacy in Sweden.
  • B. LUF
    LUF is the IATA airport code for Luke Air Force Base, a major United States Air Force training installation in Arizona.
  • C. LUF
    LUF was the currency code for the Luxembourgish franc, the former national currency of Luxembourg before adoption of the euro.
  • D. Lu
    Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
  • E. Lu
    Lu is a common Chinese surname with historical roots and numerous notable bearers across politics, academia, and the arts.
  • 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: LUH
Triple: [Ludhiana Airport, IATAcode, LUH]
Generated description
LUH is the IATA airport code for Ludhiana Airport, a domestic airport serving the city of Ludhiana in the Indian state of Punjab.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LUH
Target entity description: LUH is the IATA airport code for Ludhiana Airport, a domestic airport serving the city of Ludhiana in the Indian state of Punjab.
  • A. LUF
    LUF is the youth wing of the Swedish Liberal Party, engaging young people in liberal politics and advocacy in Sweden.
  • B. LUF
    LUF is the IATA airport code for Luke Air Force Base, a major United States Air Force training installation in Arizona.
  • C. LUF
    LUF was the currency code for the Luxembourgish franc, the former national currency of Luxembourg before adoption of the euro.
  • D. Lu
    Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
  • E. Lu
    Lu is a common Chinese surname with historical roots and numerous notable bearers across politics, academia, and the arts.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f7442e08190ad030151ec0a97d4 completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0757825ddc81908c08b061a9ec0984 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a07584e664c8190967deed2e79e356b completed May 15, 2026, 5:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0758dc31bc8190858815dc24b04ac4 completed May 15, 2026, 5:33 p.m.
Created at: April 10, 2026, 1:42 p.m.