Triple

T13223913
Position Surface form Disambiguated ID Type / Status
Subject Istriot E314824 entity
Predicate hasDialects P4251 FINISHED
Object Sissanese
Sissanese is a local variety of the Istriot language traditionally spoken in and around the town of Sissano in the Istrian region.
E1029268 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: Sissanese | Statement: [Istriot, hasDialects, Sissanese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sissanese
Context triple: [Istriot, hasDialects, Sissanese]
  • A. Tashelhiyt
    Tashelhiyt is a variety of the Shilha Berber language spoken primarily by Amazigh communities in southwestern Morocco.
  • B. Kamassian
    Kamassian is an extinct Samoyedic language formerly spoken in parts of Siberia by the Kamassian people.
  • C. Schilikois
    Schilikois are the inhabitants of Schiltigheim, a commune in the Bas-Rhin department of northeastern France near Strasbourg.
  • D. Kennyo
    Kennyo was a 16th-century Japanese Jōdo Shinshū Buddhist monk and militant leader who headed the Ishiyama Hongan-ji fortress and resisted Oda Nobunaga’s unification efforts.
  • E. Sibhaca
    Sibhaca is a vigorous traditional Swazi dance characterized by high kicking, rhythmic stomping, and powerful group performances often accompanied by chanting and drumming.
  • 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: Sissanese
Triple: [Istriot, hasDialects, Sissanese]
Generated description
Sissanese is a local variety of the Istriot language traditionally spoken in and around the town of Sissano in the Istrian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sissanese
Target entity description: Sissanese is a local variety of the Istriot language traditionally spoken in and around the town of Sissano in the Istrian region.
  • A. Tashelhiyt
    Tashelhiyt is a variety of the Shilha Berber language spoken primarily by Amazigh communities in southwestern Morocco.
  • B. Kamassian
    Kamassian is an extinct Samoyedic language formerly spoken in parts of Siberia by the Kamassian people.
  • C. Schilikois
    Schilikois are the inhabitants of Schiltigheim, a commune in the Bas-Rhin department of northeastern France near Strasbourg.
  • D. Kennyo
    Kennyo was a 16th-century Japanese Jōdo Shinshū Buddhist monk and militant leader who headed the Ishiyama Hongan-ji fortress and resisted Oda Nobunaga’s unification efforts.
  • E. Sibhaca
    Sibhaca is a vigorous traditional Swazi dance characterized by high kicking, rhythmic stomping, and powerful group performances often accompanied by chanting and drumming.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff28612c81909d4fe93b0e571deb completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f702263edc8190ad775eb876837296 completed May 3, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69f7031a4490819081da260edd969ee8 completed May 3, 2026, 8:11 a.m.
Created at: April 9, 2026, 9:19 p.m.