Triple

T17355239
Position Surface form Disambiguated ID Type / Status
Subject Baza 90 Transport Aerian Otopeni E421916 entity
Predicate location P40 FINISHED
Object Otopeni 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: Otopeni | Statement: [Baza 90 Transport Aerian Otopeni, location, Otopeni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otopeni
Context triple: [Baza 90 Transport Aerian Otopeni, location, Otopeni]
  • A. Otopeni chosen
    Otopeni is a town in Ilfov County, Romania, just north of Bucharest, best known for hosting the country’s main international airport.
  • B. Bucharest
    Bucharest is the capital and largest city of Romania, known for its mix of historic architecture, wide boulevards, and its role as the country’s political, cultural, and economic center.
  • C. Soroca
    Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
  • D. Miercurea Ciuc
    Miercurea Ciuc is a town in eastern Transylvania, Romania, known as a cultural center of the Székely Hungarian community and for its cold climate.
  • E. Arad
    Arad is a small Israeli city on the edge of the Negev Desert, known for its dry climate, desert landscapes, and proximity to the Dead Sea and Masada.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2f26548190a8822b2470ec3c72 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.