Triple

T19057194
Position Surface form Disambiguated ID Type / Status
Subject Talagi Airport E466429 entity
Predicate ICAOcode P419 FINISHED
Object ULAA
ULAA is the ICAO airport code for Talagi Airport, the main airport serving Arkhangelsk in northwestern Russia.
E1356230 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: ULAA | Statement: [Talagi Airport, ICAOcode, ULAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ULAA
Context triple: [Talagi Airport, ICAOcode, ULAA]
  • A. URAA
    URAA is a United States federal law that implemented the results of the Uruguay Round of the General Agreement on Tariffs and Trade, establishing U.S. participation in the World Trade Organization and revising trade and intellectual property rules.
  • B. ULA
    ULA is a major American aerospace company that provides launch services for government and commercial payloads using rockets such as Atlas V and Vulcan.
  • C. Ulassai
    Ulassai is a small mountain village in central-eastern Sardinia, Italy, known for its dramatic limestone cliffs, waterfalls, and contemporary art installations linked to artist Maria Lai.
  • D. UAAA
    UAAA is the ICAO airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
  • E. LAAB
    LAAB is the accrediting organization responsible for evaluating and approving professional landscape architecture degree programs in the United States.
  • 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: ULAA
Triple: [Talagi Airport, ICAOcode, ULAA]
Generated description
ULAA is the ICAO airport code for Talagi Airport, the main airport serving Arkhangelsk in northwestern Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ULAA
Target entity description: ULAA is the ICAO airport code for Talagi Airport, the main airport serving Arkhangelsk in northwestern Russia.
  • A. URAA
    URAA is a United States federal law that implemented the results of the Uruguay Round of the General Agreement on Tariffs and Trade, establishing U.S. participation in the World Trade Organization and revising trade and intellectual property rules.
  • B. ULA
    ULA is a major American aerospace company that provides launch services for government and commercial payloads using rockets such as Atlas V and Vulcan.
  • C. Ulassai
    Ulassai is a small mountain village in central-eastern Sardinia, Italy, known for its dramatic limestone cliffs, waterfalls, and contemporary art installations linked to artist Maria Lai.
  • D. UAAA
    UAAA is the ICAO airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
  • E. LAAB
    LAAB is the accrediting organization responsible for evaluating and approving professional landscape architecture degree programs in the United States.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc067f788190b3b149dfee370435 completed April 20, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c55bceb081908f7d8a74dd01dc32 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c93eb7b881909bf53002224ea86e completed May 14, 2026, 1:08 p.m.
NED2 Entity disambiguation (via description) batch_6a05ca4de6448190aca4c8b4a5af9416 completed May 14, 2026, 1:12 p.m.
Created at: April 10, 2026, 12:03 p.m.