Triple

T18287618
Position Surface form Disambiguated ID Type / Status
Subject Serbian Revolution E438023 entity
Predicate opponent P437 FINISHED
Object Dahije 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: Dahije | Statement: [Serbian Revolution, opponent, Dahije]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dahije
Context triple: [Serbian Revolution, opponent, Dahije]
  • A. Dahije chosen
    Dahije were renegade Janissary leaders who seized control of the Belgrade Pashaluk in the early 19th century, ruling it oppressively and provoking the First Serbian Uprising.
  • B. Dahegam
    Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
  • C. Dumanjug
    Dumanjug is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural economy and historic churches.
  • D. Jhirnya
    Jhirnya is a small town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and rural market center.
  • E. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500faf62081908f16ebee0a195ba2 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.