Triple

T12710086
Position Surface form Disambiguated ID Type / Status
Subject La Florida Airport E303694 entity
Predicate IATAcode P418 FINISHED
Object TCO
TCO is the IATA airport code for La Florida Airport, which serves the city of Tumaco in Colombia.
E996806 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: TCO | Statement: [La Florida Airport, IATAcode, TCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCO
Context triple: [La Florida Airport, IATAcode, TCO]
  • A. TCO
    TCO is a commonly used abbreviation for the Cleveland Orchestra, one of the leading symphony orchestras in the United States.
  • B. TCO
    TCO is an abbreviation commonly used to refer to Texas peace officers in law enforcement contexts.
  • C. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • D. TC
    TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
  • E. TC
    TC is the two-letter ISO 3166-1 alpha-2 country code assigned to the Turks and Caicos Islands.
  • 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: TCO
Triple: [La Florida Airport, IATAcode, TCO]
Generated description
TCO is the IATA airport code for La Florida Airport, which serves the city of Tumaco in Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TCO
Target entity description: TCO is the IATA airport code for La Florida Airport, which serves the city of Tumaco in Colombia.
  • A. TCO
    TCO is a commonly used abbreviation for the Cleveland Orchestra, one of the leading symphony orchestras in the United States.
  • B. TCO
    TCO is an abbreviation commonly used to refer to Texas peace officers in law enforcement contexts.
  • C. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • D. TC
    TC is the commonly used abbreviation for Portugal’s Constitutional Court, the supreme body responsible for reviewing the constitutionality of laws and ensuring compliance with the Portuguese Constitution.
  • E. TC
    TC is the vehicle registration code used on license plates for the Tachov district in the Czech Republic.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96207b2d881908314efc3e350aa78 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b8f43081909d4a8e4241c813a1 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672ac07908190bd2dfe90d55a13c1 completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67360b530819085d5db2aa0b7513d completed May 2, 2026, 9:57 p.m.
Created at: April 9, 2026, 5:23 p.m.