Triple

T21631956
Position Surface form Disambiguated ID Type / Status
Subject Aeroport E533852 entity
Predicate serves P98 FINISHED
Object Aeroport District NE NERFINISHED

How this triple was built (2 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: Aeroport District | Statement: [Aeroport, serves, Aeroport District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aeroport District
Context triple: [Aeroport, serves, Aeroport District]
  • A. Aeroport District chosen
    Aeroport District is a residential and commercial neighborhood in Moscow, Russia, known for its Soviet-era architecture and proximity to major transport routes and former aviation facilities.
  • B. Sentier district
    The Sentier district is a historic central Paris neighborhood known for its former textile and garment industry, narrow streets, and more recently its concentration of tech startups and media companies.
  • C. La Source district
    La Source district is a southern neighborhood of Orléans, France, known for its large university campus and research facilities.
  • D. Monte Carlo district
    Monte Carlo district is a famed quarter of Monaco known for its luxury casinos, upscale hotels, and role as a major center of high-end tourism and entertainment.
  • E. Grand Port District
    Grand Port District is an administrative region in southeastern Mauritius known for its historical significance, coastal landscapes, and the island’s main international airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5217952c8190910c2103fb4a27d9 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.