Triple

T15424858
Position Surface form Disambiguated ID Type / Status
Subject Saratov Gagarin Airport E369481 entity
Predicate hasICAOCode P419 FINISHED
Object UWSG
UWSG is the ICAO airport code assigned to Saratov Gagarin Airport in Russia.
E1155838 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: UWSG | Statement: [Saratov Gagarin Airport, hasICAOCode, UWSG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UWSG
Context triple: [Saratov Gagarin Airport, hasICAOCode, UWSG]
  • A. WASG
    WASG was a German left-wing political party focused on labor rights and social justice that later merged into The Left (Die Linke).
  • B. UBSG
    UBSG is the stock ticker symbol for UBS Group AG, a major global Swiss-based financial services and investment banking firm.
  • C. USW
    USW is the stock ticker symbol for US West, a former regional Bell operating company that provided telecommunications services in the western United States.
  • D. USW
    USW is a major North American labor union representing workers primarily in the steel, manufacturing, and related industries.
  • E. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • 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: UWSG
Triple: [Saratov Gagarin Airport, hasICAOCode, UWSG]
Generated description
UWSG is the ICAO airport code assigned to Saratov Gagarin Airport in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UWSG
Target entity description: UWSG is the ICAO airport code assigned to Saratov Gagarin Airport in Russia.
  • A. WASG
    WASG was a German left-wing political party focused on labor rights and social justice that later merged into The Left (Die Linke).
  • B. UBSG
    UBSG is the stock ticker symbol for UBS Group AG, a major global Swiss-based financial services and investment banking firm.
  • C. USW
    USW is the stock ticker symbol for US West, a former regional Bell operating company that provided telecommunications services in the western United States.
  • D. USW
    USW is a major North American labor union representing workers primarily in the steel, manufacturing, and related industries.
  • E. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7ed0ec8190b8086f78df965b61 completed May 9, 2026, 11:29 a.m.
NEDg Description generation batch_69ff1b3c563481908418411a977df343 completed May 9, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69ff1c0ad5448190903dc38f78512f3b completed May 9, 2026, 11:35 a.m.
Created at: April 10, 2026, 3:20 a.m.