Triple

T12280021
Position Surface form Disambiguated ID Type / Status
Subject Socotra Airport E292692 entity
Predicate icaoCode P419 FINISHED
Object OYSQ
OYSQ is the ICAO airport code for Socotra Airport, the main air gateway to Yemen’s remote Socotra Island in the Arabian Sea.
 E975973 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: OYSQ | Statement: [Socotra Airport, icaoCode, OYSQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OYSQ
Context triple: [Socotra Airport, icaoCode, OYSQ]
  • A. OYSN
    OYSN is the ICAO airport code for Sanaʽa International Airport, the main airport serving Yemen’s capital city.
  • B. OY
    OY is the official vehicle registration code assigned to Oyo State in southwestern Nigeria.
  • C. Oy
    Oy is a loyal, intelligent billy-bumbler companion to Roland Deschain’s ka-tet in Stephen King’s The Dark Tower series.
  • D. OIKQ
    OIKQ is the ICAO airport code assigned to Qeshm International Airport in Iran.
  • E. YQ
    YQ is a Nigerian hip-hop artist known for his collaborations within the Afrobeats and rap scene, including work with rapper Naeto C.
  • 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: OYSQ
Triple: [Socotra Airport, icaoCode, OYSQ]
Generated description
OYSQ is the ICAO airport code for Socotra Airport, the main air gateway to Yemen’s remote Socotra Island in the Arabian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OYSQ
Target entity description: OYSQ is the ICAO airport code for Socotra Airport, the main air gateway to Yemen’s remote Socotra Island in the Arabian Sea.
  • A. OYSN
    OYSN is the ICAO airport code for Sanaʽa International Airport, the main airport serving Yemen’s capital city.
  • B. OY
    OY is the official vehicle registration code assigned to Oyo State in southwestern Nigeria.
  • C. Oy
    Oy is a loyal, intelligent billy-bumbler companion to Roland Deschain’s ka-tet in Stephen King’s The Dark Tower series.
  • D. OIKQ
    OIKQ is the ICAO airport code assigned to Qeshm International Airport in Iran.
  • E. YQ
    YQ is a Nigerian hip-hop artist known for his collaborations within the Afrobeats and rap scene, including work with rapper Naeto C.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6f46f08190839ba07ef6fac984 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f622de74f0819096c5f5bf6f938fe7 completed May 2, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69f62379746c8190bc9da48775b86dfa completed May 2, 2026, 4:16 p.m.
Created at: April 8, 2026, 9:52 p.m.