Triple

T16794848
Position Surface form Disambiguated ID Type / Status
Subject Morava Airport E408205 entity
Predicate servesCity P82 FINISHED
Object Čačak 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: Čačak | Statement: [Morava Airport, servesCity, Čačak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Čačak
Context triple: [Morava Airport, servesCity, Čačak]
  • A. Čačak chosen
    Čačak is a city in central Serbia known as an important regional industrial, cultural, and transportation center on the West Morava River.
  • B. 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).
  • C. 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.
  • 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. Zrenjanin
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a96d888190a9876c3784bb7f95 completed April 18, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:22 a.m.