Triple

T6183041
Position Surface form Disambiguated ID Type / Status
Subject Zadar County E137988 entity
Predicate borders 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: [Zadar County, borders, Lika-Senj County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lika-Senj County
Context triple: [Zadar County, borders, 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. Hiiu County
    Hiiu County is an administrative region of Estonia encompassing the island of Hiiumaa and its surrounding islets in the Baltic Sea.
  • C. Yancowinna County
    Yancowinna County is a cadastral division in far western New South Wales, Australia, that includes the city of Broken Hill and surrounding areas.
  • D. Taihe County
    Taihe County is an administrative county under the jurisdiction of Fuyang City in Anhui Province, eastern China, known for its agriculture-based economy and growing urban development.
  • E. Bong County
    Bong County is an inland administrative region of central Liberia known for its agricultural activities, mineral resources, and role as a significant battleground during the country’s civil conflicts.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06100c2b0819097f287e86f63d590 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c30d28819095d719adc421b02d completed March 23, 2026, 1:36 p.m.
Created at: March 22, 2026, 4:19 p.m.