Triple

T16704926
Position Surface form Disambiguated ID Type / Status
Subject Northern Serbia E405943 entity
Predicate hasMajorCity P316 FINISHED
Object Zrenjanin E106219 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: Zrenjanin | Statement: [Northern Serbia, hasMajorCity, Zrenjanin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zrenjanin
Context triple: [Northern Serbia, hasMajorCity, Zrenjanin]
  • A. Zrenjanin chosen
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • B. Valjevo
    Valjevo is a historic city in western Serbia known for its role in World War I and its position as a regional cultural and economic center.
  • C. Zemun
    Zemun is a historic urban municipality of Belgrade, Serbia, known for its preserved old town, Danube riverfront, and distinctive Central European architectural heritage.
  • D. Zaječar
    Zaječar is a city in eastern Serbia known as the nearest urban center to the late Roman imperial palace complex of Gamzigrad (Felix Romuliana).
  • E. Jagodina
    Jagodina is a city in central Serbia known as a regional industrial and cultural center, featuring attractions such as a popular zoo, aqua park, and museums.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383355f908190be467a12079b3d6f completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d38a1348190bf51af9847a16aa5 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.