Triple

T16669655
Position Surface form Disambiguated ID Type / Status
Subject Southern Bukovina E405076 entity
Predicate contains P35 FINISHED
Object Gura Humorului E405078 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: Gura Humorului | Statement: [Southern Bukovina, contains, Gura Humorului]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gura Humorului
Context triple: [Southern Bukovina, contains, Gura Humorului]
  • A. Gura Humorului chosen
    Gura Humorului is a small Romanian town in the historical region of Bukovina, known for its proximity to painted monasteries and its role as a local cultural and tourist center.
  • B. Gagool
    Gagool is a sinister, ancient witch and royal advisor who serves as the primary antagonist in H. Rider Haggard's adventure novel "King Solomon's Mines."
  • C. The Groke
    The Groke is a mysterious, ghost-like creature from Tove Jansson’s Moomin series, known for its chilling presence and aura of loneliness.
  • D. Buloburde
    Buloburde is a town in central Somalia located in the Hirshabelle State region.
  • E. حي الطريف
    حي الطريف هو حي تاريخي في مدينة الدرعية بالمملكة العربية السعودية يُعد من أبرز مواقع التراث العالمي لليونسكو لكونه مركزاً قديماً لحكم الدولة السعودية الأولى.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9fa3d081909457b1bdea1d96e0 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a34852c81908c00ff8e36923cee completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.