Triple

T13085963
Position Surface form Disambiguated ID Type / Status
Subject El Arish International Airport E310336 entity
Predicate ICAO code P419 FINISHED
Object HEAR
HEAR is the ICAO airport code for El Arish International Airport in Egypt’s North Sinai region.
 E1021126 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: HEAR | Statement: [El Arish International Airport, ICAO code, HEAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HEAR
Context triple: [El Arish International Airport, ICAO code, HEAR]
  • A. Hear It
    Hear It is a track from the album "Song of Seven" by Jon Anderson, known for its melodic, progressive rock style.
  • B. Hear Me Now
    "Hear Me Now" is a popular electronic dance music track by Brazilian DJ and producer Bruno Martini, known for its catchy melody and international chart success.
  • C. Hear It Is
    "Hear It Is" is the 1986 debut studio album by American rock band The Flaming Lips, showcasing their early noisy, psychedelic sound.
  • D. Hörzu
    Hörzu is a long-running German television and radio listings magazine known for organizing and presenting the prestigious Goldene Kamera entertainment awards.
  • E. Hear Me Clearly
    "Hear Me Clearly" is a hard-hitting rap track by Pusha T known for its gritty lyricism and minimalist, menacing production.
  • 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: HEAR
Triple: [El Arish International Airport, ICAO code, HEAR]
Generated description
HEAR is the ICAO airport code for El Arish International Airport in Egypt’s North Sinai region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HEAR
Target entity description: HEAR is the ICAO airport code for El Arish International Airport in Egypt’s North Sinai region.
  • A. Hear It
    Hear It is a track from the album "Song of Seven" by Jon Anderson, known for its melodic, progressive rock style.
  • B. Hear Me Now
    "Hear Me Now" is a popular electronic dance music track by Brazilian DJ and producer Bruno Martini, known for its catchy melody and international chart success.
  • C. Hear It Is
    "Hear It Is" is the 1986 debut studio album by American rock band The Flaming Lips, showcasing their early noisy, psychedelic sound.
  • D. Hörzu
    Hörzu is a long-running German television and radio listings magazine known for organizing and presenting the prestigious Goldene Kamera entertainment awards.
  • E. Hear Me Clearly
    "Hear Me Clearly" is a hard-hitting rap track by Pusha T known for its gritty lyricism and minimalist, menacing production.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61060188190911eb3e135dc25ac completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6dae595908190b27980e48514cda5 completed May 3, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_69f6db8f68a4819091d8e67d9c8eec81 completed May 3, 2026, 5:22 a.m.
Created at: April 9, 2026, 9:02 p.m.