Triple

T2905157
Position Surface form Disambiguated ID Type / Status
Subject King Alexander I of Yugoslavia E62744 entity
Predicate placeOfBirth P1 FINISHED
Object Cetinje E144765 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: Cetinje | Statement: [King Alexander I of Yugoslavia, placeOfBirth, Cetinje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cetinje
Context triple: [King Alexander I of Yugoslavia, placeOfBirth, Cetinje]
  • A. Cetinje chosen
    Cetinje is a historic town in Montenegro that served as the country’s old royal capital and cultural center.
  • B. Podgorica
    Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
  • C. Herceg Novi
    Herceg Novi is a coastal town in western Montenegro known for its historic old town, fortresses, and scenic location at the entrance to the Bay of Kotor.
  • D. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • E. Pristina
    Pristina is the capital and largest city of Kosovo, serving as its political, economic, and cultural center in the central Balkans.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0cd68d48190aea4afbdaed2d4bc completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08658407c8190ad7798590dd17ef9 completed March 10, 2026, 9 p.m.
Created at: March 6, 2026, 10:11 p.m.