Triple

T15330947
Position Surface form Disambiguated ID Type / Status
Subject Kupa E366528 entity
Predicate flowsNear P350 FINISHED
Object Karlovac E438687 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: Karlovac | Statement: [Kupa, flowsNear, Karlovac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlovac
Context triple: [Kupa, flowsNear, Karlovac]
  • A. Karlovac chosen
    Karlovac is a historic Croatian city strategically located at the confluence of four rivers, known for its star-shaped Renaissance fortress and role as a key military and trading center.
  • B. Jastrebarsko
    Jastrebarsko is a small historic town in central Croatia known for its wine-growing region and cultural heritage.
  • C. 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.
  • D. Slavonski Brod
    Slavonski Brod is a major city in eastern Croatia situated on the border with Bosnia and Herzegovina, known as an important industrial and transport hub on the Sava River.
  • E. Osijek
    Osijek is a prominent city in eastern Croatia known as an economic, cultural, and educational center of the Slavonia region.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ecb904819082454622dcd77556 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.