Triple

T19911568
Position Surface form Disambiguated ID Type / Status
Subject Njeguši E478558 entity
Predicate hasNameInLocalLanguage P21937 FINISHED
Object Његуши
Његуши is a historic Montenegrin village in the Lovćen mountains, renowned as the birthplace of the Petrović-Njegoš dynasty and for its traditional smoked ham and cheese.
 E1400905 NE FINISHED

How this triple was built (4 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: Његуши | Statement: [Njeguši, hasNameInLocalLanguage, Његуши]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Његуши
Context triple: [Njeguši, hasNameInLocalLanguage, Његуши]
  • A. Nishi
    Nishi is a Japanese surname borne by various notable figures in fields such as philosophy, politics, and the arts.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Nakatane
    Nakatane is a town on Tanegashima Island in Kagoshima Prefecture, Japan, known for its role in local administration and its proximity to the island’s space-related facilities and coastal scenery.
  • D. Nippani
    Nippani is a town in the northern part of Karnataka, India, known for its agriculture, small-scale industries, and location near the Maharashtra border.
  • E. Urakawa
    Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Његуши
Triple: [Njeguši, hasNameInLocalLanguage, Његуши]
Generated description
Његуши is a historic Montenegrin village in the Lovćen mountains, renowned as the birthplace of the Petrović-Njegoš dynasty and for its traditional smoked ham and cheese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Његуши
Target entity description: Његуши is a historic Montenegrin village in the Lovćen mountains, renowned as the birthplace of the Petrović-Njegoš dynasty and for its traditional smoked ham and cheese.
  • A. Nishi
    Nishi is a Japanese surname borne by various notable figures in fields such as philosophy, politics, and the arts.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Nakatane
    Nakatane is a town on Tanegashima Island in Kagoshima Prefecture, Japan, known for its role in local administration and its proximity to the island’s space-related facilities and coastal scenery.
  • D. Nippani
    Nippani is a town in the northern part of Karnataka, India, known for its agriculture, small-scale industries, and location near the Maharashtra border.
  • E. Urakawa
    Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
  • F. None of above. chosen

Provenance (5 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659908ba88190ae0ee0fbfe4ddf64 completed April 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea4da7b08190a91e34dc73c45042 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07ec5609748190b38b8bfce84924b5 completed May 16, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_6a07ed1b06a88190a837c3aaf32438c9 completed May 16, 2026, 4:05 a.m.
Created at: April 10, 2026, 1:53 p.m.