Triple

T7781524
Position Surface form Disambiguated ID Type / Status
Subject Alcantarí International Airport E221529 entity
Predicate IATAcode P418 FINISHED
Object SRE
SRE is the IATA airport code for Alcantarí International Airport, which serves the city of Sucre in Bolivia.
 E693300 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: SRE | Statement: [Alcantarí International Airport, IATAcode, SRE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SRE
Context triple: [Alcantarí International Airport, IATAcode, SRE]
  • A. SRE
    SRE is the Spanish acronym for Mexico’s Secretariat of Foreign Affairs, the federal ministry responsible for conducting the country’s international relations and diplomacy.
  • B. DevOps
    DevOps is a collaborative software development and IT operations approach that emphasizes automation, continuous integration and delivery, and rapid, reliable deployment of applications.
  • C. Ops
    Ops is a Roman fertility and earth goddess associated with abundance, the harvest, and the well-being of the state.
  • D. SOAR
    SOAR is the commonly used abbreviation for the U.S. Army’s elite 160th Special Operations Aviation Regiment, known for its specialized nighttime and low-level aviation missions in support of special operations forces.
  • E. SWE
    SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
  • 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: SRE
Triple: [Alcantarí International Airport, IATAcode, SRE]
Generated description
SRE is the IATA airport code for Alcantarí International Airport, which serves the city of Sucre in Bolivia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SRE
Target entity description: SRE is the IATA airport code for Alcantarí International Airport, which serves the city of Sucre in Bolivia.
  • A. SRE
    SRE is the Spanish acronym for Mexico’s Secretariat of Foreign Affairs, the federal ministry responsible for conducting the country’s international relations and diplomacy.
  • B. DevOps
    DevOps is a collaborative software development and IT operations approach that emphasizes automation, continuous integration and delivery, and rapid, reliable deployment of applications.
  • C. Ops
    Ops is a Roman fertility and earth goddess associated with abundance, the harvest, and the well-being of the state.
  • D. SOAR
    SOAR is the commonly used abbreviation for the U.S. Army’s elite 160th Special Operations Aviation Regiment, known for its specialized nighttime and low-level aviation missions in support of special operations forces.
  • E. SWE
    SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1dcc6c8190b3c6ee4ff7808e02 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5c1f20c81908ae2fc35550b91b5 completed March 30, 2026, 10:14 p.m.
NEDg Description generation batch_69caf81ebde881909bd131da8987b449 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa013f348190a2067dee4a0c8c40 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:21 p.m.