Triple

T1824367
Position Surface form Disambiguated ID Type / Status
Subject David the Builder Kutaisi International Airport E40617 entity
Predicate near P350 FINISHED
Object Kutaisi city center E7705 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: Kutaisi city center | Statement: [David the Builder Kutaisi International Airport, near, Kutaisi city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutaisi city center
Context triple: [David the Builder Kutaisi International Airport, near, Kutaisi city center]
  • A. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
  • B. Kutaisi chosen
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • C. Stadtmitte
    Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
  • D. Osu shopping district
    Osu shopping district is a famous traditional shopping and entertainment area in Nagoya, Japan, known for its covered arcades, electronics shops, fashion boutiques, and Osu Kannon Temple.
  • E. Sentrum
    Sentrum is the central district of Oslo, Norway, which hosts some of the University of Oslo’s urban campus facilities.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa662e0308819081c75ebbdfbf491e completed March 6, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6927fc8190ad9ce95c92153c64 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.