Triple

T19780594
Position Surface form Disambiguated ID Type / Status
Subject Town Council of Gospić E475119 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Lika-Senj County NE NERFINISHED

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: [Town Council of Gospić, locatedInAdministrativeTerritory, Lika-Senj County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lika-Senj County
Context triple: [Town Council of Gospić, locatedInAdministrativeTerritory, 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. Biru County
    Biru County is an administrative county in northern Tibet, China, known for its high-altitude grasslands and traditional Tibetan culture.
  • C. Rinsan County
    Rinsan County is an administrative county located within Ryanggang Province in North Korea.
  • D. Bahmai County
    Bahmai County is an administrative division in southwestern Iran known for its mountainous terrain and rural communities.
  • E. Jinta County
    Jinta County is an administrative county under the jurisdiction of Jiuquan City in Gansu Province, northwestern China, known for its arid landscapes and desert environment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65382ff308190832800dd60675f7a completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.