Triple

T6937695
Position Surface form Disambiguated ID Type / Status
Subject Zagreb Zoo E160592 entity
Predicate cityServed P82 FINISHED
Object Zagreb metropolitan area E621578 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: Zagreb metropolitan area | Statement: [Zagreb Zoo, cityServed, Zagreb metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zagreb metropolitan area
Context triple: [Zagreb Zoo, cityServed, Zagreb metropolitan area]
  • A. Zagreb region chosen
    The Zagreb region is an area in northwestern Croatia centered on the capital city of Zagreb, known as a cultural, economic, and administrative hub where the Kajkavian dialect of Croatian is traditionally used.
  • B. Zagreb
    Zagreb is the capital and largest city of Croatia, known as a political, cultural, and economic hub in the Balkans.
  • C. Osijek
    Osijek is a prominent city in eastern Croatia known as an economic, cultural, and educational center of the Slavonia region.
  • D. Karlovac
    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.
  • 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 (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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da606328819095eb852f7a0842dc completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8029da4688190ae479d3f791aa1c2 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 2:28 p.m.