Triple

T18866405
Position Surface form Disambiguated ID Type / Status
Subject NI E461448 entity
Predicate usedIn P98 FINISHED
Object Niš 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: Niš | Statement: [NI, usedIn, Niš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niš
Context triple: [NI, usedIn, Niš]
  • A. Niš chosen
    Niš is one of the largest and oldest cities in Serbia, known as a key cultural, economic, and transportation hub in the southern part of the country.
  • B. Supetar
    Supetar is the main port and largest town on the Croatian island of Brač, known for its Adriatic seaside setting and role as a local tourism and transport hub.
  • C. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • D. Trebinje
    Trebinje is a historic town in southern Bosnia and Herzegovina, known for its Mediterranean climate, Ottoman-era architecture, and scenic location near the border with Croatia and Montenegro.
  • E. Viminacium
    Viminacium was a major Roman city and military camp on the Danube, located in the province of Moesia (in present-day Serbia), known for its strategic importance and extensive archaeological remains.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a617548190be6044bf2c3de6d0 completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.