Triple

T15609437
Position Surface form Disambiguated ID Type / Status
Subject Jagodina E375247 entity
Predicate hasTwinTown P919 FINISHED
Object Pančevo E643775 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: Pančevo | Statement: [Jagodina, hasTwinTown, Pančevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pančevo
Context triple: [Jagodina, hasTwinTown, Pančevo]
  • A. Pančevo chosen
    Pančevo is an industrial city in northern Serbia, located near Belgrade on the banks of the Danube and Tamiš rivers.
  • B. Bačka Palanka
    Bačka Palanka is a town in northern Serbia situated on the Danube River, known as an important regional center in the Bačka area.
  • C. Bački Petrovac
    Bački Petrovac is a town and municipality in the Vojvodina region of northern Serbia, known for its significant Slovak ethnic community and cultural heritage.
  • D. Zemun
    Zemun is a historic urban municipality of Belgrade, Serbia, known for its preserved old town, Danube riverfront, and distinctive Central European architectural heritage.
  • E. Kruševac
    Kruševac is a historic city in central Serbia founded in the 14th century by Prince Lazar, serving briefly as the capital of his medieval Serbian principality.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff997b9c9081908f6a68e28a50a359 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:13 a.m.