Triple

T19468039
Position Surface form Disambiguated ID Type / Status
Subject Bor E487049 entity
Predicate hasAirport P105 FINISHED
Object Bor Airport
Bor Airport is a small regional airport serving the town of Bor and its surrounding area in eastern Serbia.
E1377195 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: Bor Airport | Statement: [Bor, hasAirport, Bor Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bor Airport
Context triple: [Bor, hasAirport, Bor Airport]
  • A. Hun Airport
    Hun Airport is a regional airfield serving the town of Hun in central Libya, providing domestic connectivity within the country's aviation network.
  • B. Marka International Airport
    Marka International Airport is a domestic and regional airport serving Amman, Jordan, primarily handling general aviation, charter, and some commercial flights.
  • C. Van Ferit Melen Airport
    Van Ferit Melen Airport is a regional public airport serving the city of Van in eastern Turkey, providing both domestic and limited international flights.
  • D. Frunze Airport
    Frunze Airport was the main Soviet-era airport serving Bishkek, Kyrgyzstan, before being renamed Manas International Airport.
  • E. Tarama Airport
    Tarama Airport is a small regional airport serving the remote Tarama Island in Okinawa Prefecture, Japan, providing essential air links for local residents and visitors.
  • 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: Bor Airport
Triple: [Bor, hasAirport, Bor Airport]
Generated description
Bor Airport is a small regional airport serving the town of Bor and its surrounding area in eastern Serbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bor Airport
Target entity description: Bor Airport is a small regional airport serving the town of Bor and its surrounding area in eastern Serbia.
  • A. Hun Airport
    Hun Airport is a regional airfield serving the town of Hun in central Libya, providing domestic connectivity within the country's aviation network.
  • B. Marka International Airport
    Marka International Airport is a domestic and regional airport serving Amman, Jordan, primarily handling general aviation, charter, and some commercial flights.
  • C. Van Ferit Melen Airport
    Van Ferit Melen Airport is a regional public airport serving the city of Van in eastern Turkey, providing both domestic and limited international flights.
  • D. Frunze Airport
    Frunze Airport was the main Soviet-era airport serving Bishkek, Kyrgyzstan, before being renamed Manas International Airport.
  • E. Tarama Airport
    Tarama Airport is a small regional airport serving the remote Tarama Island in Okinawa Prefecture, Japan, providing essential air links for local residents and visitors.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e4b230819097c8804ee91988ea completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b40271c8190a27b00e6533ed1a0 completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073c19c3b88190a6114d272ebd5fbc completed May 15, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a073d25ba448190a62777b68d2f3136 completed May 15, 2026, 3:35 p.m.
Created at: April 10, 2026, 1:39 p.m.