Triple

T14556574
Position Surface form Disambiguated ID Type / Status
Subject Sétif E341555 entity
Predicate airportName P4100 FINISHED
Object Ain Arnat Airport
Ain Arnat Airport is a public airport serving the city and region of Sétif in northeastern Algeria.
E1106002 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: Ain Arnat Airport | Statement: [Sétif, airportName, Ain Arnat Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ain Arnat Airport
Context triple: [Sétif, airportName, Ain Arnat Airport]
  • A. Jowhar Airport
    Jowhar Airport is a public airfield serving the town of Jowhar in Somalia, providing regional air transport connections.
  • B. Al-Hasakah Airport
    Al-Hasakah Airport is a small regional airfield serving the city and surrounding region of Al-Hasakah in northeastern Syria.
  • C. Ozar Airport
    Ozar Airport is a public airport serving the city of Nashik in Maharashtra, India, handling both civilian and limited military aviation operations.
  • D. Deir ez-Zor Airport
    Deir ez-Zor Airport is a small civilian and military airfield serving the city of Deir ez-Zor in eastern Syria.
  • E. Rosh Pinna Airport
    Rosh Pinna Airport is a small regional airport in northern Israel that primarily serves domestic flights and general aviation.
  • 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: Ain Arnat Airport
Triple: [Sétif, airportName, Ain Arnat Airport]
Generated description
Ain Arnat Airport is a public airport serving the city and region of Sétif in northeastern Algeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ain Arnat Airport
Target entity description: Ain Arnat Airport is a public airport serving the city and region of Sétif in northeastern Algeria.
  • A. Jowhar Airport
    Jowhar Airport is a public airfield serving the town of Jowhar in Somalia, providing regional air transport connections.
  • B. Al-Hasakah Airport
    Al-Hasakah Airport is a small regional airfield serving the city and surrounding region of Al-Hasakah in northeastern Syria.
  • C. Ozar Airport
    Ozar Airport is a public airport serving the city of Nashik in Maharashtra, India, handling both civilian and limited military aviation operations.
  • D. Deir ez-Zor Airport
    Deir ez-Zor Airport is a small civilian and military airfield serving the city of Deir ez-Zor in eastern Syria.
  • E. Rosh Pinna Airport
    Rosh Pinna Airport is a small regional airport in northern Israel that primarily serves domestic flights and general aviation.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8abde0308190819da6867e703ea7 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8bb3c1188190b158d30e9c962911 completed May 8, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd8c6e7d448190835f87e27c998623 completed May 8, 2026, 7:10 a.m.
Created at: April 10, 2026, 1:23 a.m.