Triple

T15816527
Position Surface form Disambiguated ID Type / Status
Subject Daşoguz Region E383491 entity
Predicate transportInfrastructure P1777 FINISHED
Object Daşoguz Airport E383492 NE FINISHED

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: Daşoguz Airport | Statement: [Daşoguz Region, transportInfrastructure, Daşoguz Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daşoguz Airport
Context triple: [Daşoguz Region, transportInfrastructure, Daşoguz Airport]
  • A. Dashoguz International Airport chosen
    Dashoguz International Airport is a public airport in northern Turkmenistan that serves the city of Dashoguz with domestic and limited international flights.
  • B. Qamishli International Airport
    Qamishli International Airport is a civil and military airport serving the city of Qamishli in northeastern Syria, near the Turkish border.
  • C. Sary-Arka Airport
    Sary-Arka Airport is the main international airport serving the city of Karaganda in central Kazakhstan.
  • D. Namangan Airport
    Namangan Airport is a regional public airport serving the city of Namangan in eastern Uzbekistan, handling domestic and limited international flights.
  • E. Ürümqi Diwopu International Airport
    Ürümqi Diwopu International Airport is a major international airport in Xinjiang, China, serving as the primary aviation hub for Ürümqi and an important gateway between China and Central Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a306a48190840adc49df2c26c5 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99959f048190ae24a072387ec233 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.