Triple

T13263859
Position Surface form Disambiguated ID Type / Status
Subject Karlovac County E315865 entity
Predicate borderedBy P224 FINISHED
Object Lika-Senj County E96563 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: Lika-Senj County | Statement: [Karlovac County, borderedBy, Lika-Senj County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lika-Senj County
Context triple: [Karlovac County, borderedBy, Lika-Senj County]
  • A. Lika-Senj County chosen
    Lika-Senj County is a sparsely populated county in central Croatia known for its mountainous landscapes, national parks, and Adriatic coastline.
  • B. Shache County
    Shache County is a county in southwestern Xinjiang, China, known historically as Yarkand and situated along key oasis routes of the southern Silk Road.
  • C. Hiiu County
    Hiiu County is an administrative region of Estonia encompassing the island of Hiiumaa and its surrounding islets in the Baltic Sea.
  • D. Kabudarahang County
    Kabudarahang County is an administrative subdivision in western Iran known for its rural communities and agricultural activities within Hamadan Province.
  • E. Fugu County
    Fugu County is an administrative county under the jurisdiction of Yulin City in northern Shaanxi Province, China, known for its location along the Yellow River and its coal resources.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901c65048190bd8b3c4872f22520 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a48bc488190a5cf692d81bdcbba completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.