Triple

T8109271
Position Surface form Disambiguated ID Type / Status
Subject Prahova County E189305 entity
Predicate contains P35 FINISHED
Object Azuga E712682 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: Azuga | Statement: [Prahova County, contains, Azuga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azuga
Context triple: [Prahova County, contains, Azuga]
  • A. Azuga chosen
    Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
  • B. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • C. Isuzu Piazza
    The Isuzu Piazza is a stylish compact sports coupe from the 1980s, best known for its sharp, futuristic design by famed Italian automotive designer Giorgetto Giugiaro.
  • D. Marut
    Marut is a group of storm deities in Hindu mythology, often associated with thunder, wind, and the god Indra.
  • E. Isuzu Panther
    The Isuzu Panther is a multi-purpose vehicle (MPV) produced by Isuzu, popular in Southeast Asia for its durability, utility, and use as a family and commercial transport.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe994fc881908a43cfdf9f28753c completed April 1, 2026, 6:43 a.m.
Created at: March 30, 2026, 5:32 p.m.