Triple

T17746070
Position Surface form Disambiguated ID Type / Status
Subject Provideniya Bay Airport E442992 entity
Predicate ICAOcode P419 FINISHED
Object UHMD
UHMD is the ICAO airport code for Provideniya Bay Airport in Russia’s Chukotka region.
 E1284711 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: UHMD | Statement: [Provideniya Bay Airport, ICAOcode, UHMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UHMD
Context triple: [Provideniya Bay Airport, ICAOcode, UHMD]
  • A. UHSM
    UHSM is the ICAO airport code for Yuzhno-Kurilsk Mendeleyevo Airport, a regional airport serving the Kuril Islands in Russia.
  • B. HMU
    HMU is the commonly used abbreviation for the Hellenic Mediterranean University, a higher education institution in Greece.
  • C. UHMM
    UHMM is the ICAO airport code for Magadan Airport, a regional aviation hub in Russia’s Far East.
  • D. UH
    UH is a major public research university located in Houston, Texas, known for its diverse student body and strong programs in fields such as engineering, business, and the arts.
  • E. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • 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: UHMD
Triple: [Provideniya Bay Airport, ICAOcode, UHMD]
Generated description
UHMD is the ICAO airport code for Provideniya Bay Airport in Russia’s Chukotka region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UHMD
Target entity description: UHMD is the ICAO airport code for Provideniya Bay Airport in Russia’s Chukotka region.
  • A. UHSM
    UHSM is the ICAO airport code for Yuzhno-Kurilsk Mendeleyevo Airport, a regional airport serving the Kuril Islands in Russia.
  • B. HMU
    HMU is the commonly used abbreviation for the Hellenic Mediterranean University, a higher education institution in Greece.
  • C. UHMM
    UHMM is the ICAO airport code for Magadan Airport, a regional aviation hub in Russia’s Far East.
  • D. UH
    UH is a major public research university located in Houston, Texas, known for its diverse student body and strong programs in fields such as engineering, business, and the arts.
  • E. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad26940819090696c2cb86fd606 completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a024300b5048190ba50198a7637441d completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a02449a76d8819099e72cd53f908255 completed May 11, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_6a024530b5dc8190a4776863cc01babf completed May 11, 2026, 9:08 p.m.
Created at: April 10, 2026, 10:09 a.m.