Triple

T9642782
Position Surface form Disambiguated ID Type / Status
Subject Ukimerioni Hill E233115 entity
Predicate partOf P40 FINISHED
Object Kutaisi urban area E204191 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 urban area | Statement: [Ukimerioni Hill, partOf, Kutaisi urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutaisi urban area
Context triple: [Ukimerioni Hill, partOf, Kutaisi urban area]
  • A. Kutaisi urban area chosen
    Kutaisi urban area is the metropolitan region centered on Kutaisi, one of Georgia’s largest and historically significant cities in the western part of the country.
  • B. Naha urban area
    Naha urban area is the principal metropolitan and economic center of Okinawa Prefecture in Japan, encompassing the city of Naha and its surrounding urbanized regions.
  • C. Krayot urban area
    Krayot urban area is a cluster of coastal suburban towns north of Haifa in Israel, functioning as its metropolitan extension.
  • D. Valence urban area
    The Valence urban area is a metropolitan region in southeastern France centered around the city of Valence, serving as an important economic, cultural, and transportation hub in the Drôme department.
  • E. Carmelit urban area
    Carmelit urban area is the central urban district of Haifa, Israel, served by the Carmelit underground funicular and integrated into the city's broader metropolitan transport network.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7cda388190a38f96d78085f404 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18252c1cc81908d33c9c55d645fbf completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.