Triple

T21098530
Position Surface form Disambiguated ID Type / Status
Subject Laredo International Airport E519831 entity
Predicate FAAcode P420 FINISHED
Object LRD
LRD is the three-letter FAA airport code for Laredo International Airport in Laredo, Texas.
E1467235 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: LRD | Statement: [Laredo International Airport, FAAcode, LRD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LRD
Context triple: [Laredo International Airport, FAAcode, LRD]
  • A. LRD
    LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
  • B. LR
    LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
  • C. LR
    LR is the stock ticker symbol for Legrand, a global specialist in electrical and digital building infrastructure.
  • D. LR
    LR is the ISO 3166-1 alpha-2 country code for Liberia, a West African nation on the Atlantic coast.
  • E. LR
    LR is the commonly used abbreviation for Les Républicains, a major center-right political party in France.
  • 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: LRD
Triple: [Laredo International Airport, FAAcode, LRD]
Generated description
LRD is the three-letter FAA airport code for Laredo International Airport in Laredo, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LRD
Target entity description: LRD is the three-letter FAA airport code for Laredo International Airport in Laredo, Texas.
  • A. LRD
    LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
  • B. LR
    LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
  • C. LR
    LR is the ISO 3166-1 alpha-2 country code for Liberia, a West African nation on the Atlantic coast.
  • D. LR
    LR is the commonly used abbreviation for Les Républicains, a major center-right political party in France.
  • E. LR
    LR is the stock ticker symbol for Legrand, a global specialist in electrical and digital building infrastructure.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5b51608190aa286d89a9d54e9f completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965db4c948190bbee6032b2a2c72c completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0966879f08819096d6e9e7abe902c5 completed May 17, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_6a09670fc80c81909cbce03b5e071428 completed May 17, 2026, 6:58 a.m.
Created at: April 16, 2026, 2:52 p.m.