Triple

T19925926
Position Surface form Disambiguated ID Type / Status
Subject UNPROFOR Sector South E478921 entity
Predicate headquartersLocation P62 FINISHED
Object Knin 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: Knin | Statement: [UNPROFOR Sector South, headquartersLocation, Knin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knin
Context triple: [UNPROFOR Sector South, headquartersLocation, Knin]
  • A. Knin chosen
    Knin is a historic town in southern Croatia that served as an important medieval political and military center, often referred to as the "royal city" due to its role as a seat of Croatian kings.
  • B. Koprivnica
    Koprivnica is a city in northern Croatia known as a regional center of the Podravina area, with historical roots dating back to medieval times and a strong tradition in industry and culture.
  • C. Đakovo
    Đakovo is a historic town in eastern Croatia renowned for its cathedral, cultural heritage, and role as a regional center in Slavonia.
  • D. Šibenik
    Šibenik is a historic coastal city in Croatia known for its medieval architecture and the UNESCO-listed Cathedral of St. James.
  • E. Sisak
    Sisak is a historic Croatian city located at the confluence of the Kupa, Sava, and Odra rivers, known as an important industrial and transport hub.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c992fc8190bd262d528be0e636 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.