Triple

T10039103
Position Surface form Disambiguated ID Type / Status
Subject Dimlî E205248 entity
Predicate hasDialect P4251 FINISHED
Object Northern Dimlî
Northern Dimlî is a regional variety of the Dimlî (Zaza) language spoken primarily in the northern parts of its traditional area in eastern Turkey.
 E837224 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: Northern Dimlî | Statement: [Dimlî, hasDialect, Northern Dimlî]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Northern Dimlî
Context triple: [Dimlî, hasDialect, Northern Dimlî]
  • A. Northern Uma
    Northern Uma is a regional dialect of the Uma language spoken by communities in Central Sulawesi, Indonesia.
  • B. Nadym
    Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
  • C. Buir
    Buir is a district or locality within the town of Kerpen in North Rhine-Westphalia, Germany.
  • D. Noghere
    Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
  • E. Manych
    Manych is a river in southern Russia that flows through the steppe regions and connects the basins of the Don and the Caspian Sea.
  • 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: Northern Dimlî
Triple: [Dimlî, hasDialect, Northern Dimlî]
Generated description
Northern Dimlî is a regional variety of the Dimlî (Zaza) language spoken primarily in the northern parts of its traditional area in eastern Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Northern Dimlî
Target entity description: Northern Dimlî is a regional variety of the Dimlî (Zaza) language spoken primarily in the northern parts of its traditional area in eastern Turkey.
  • A. Northern Uma
    Northern Uma is a regional dialect of the Uma language spoken by communities in Central Sulawesi, Indonesia.
  • B. Nadym
    Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
  • C. Buir
    Buir is a district or locality within the town of Kerpen in North Rhine-Westphalia, Germany.
  • D. Noghere
    Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
  • E. Manych
    Manych is a river in southern Russia that flows through the steppe regions and connects the basins of the Don and the Caspian Sea.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee04afc8190904704d66e23a432 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28268ab648190a565472d00b289c2 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d283c516708190b3a1c363841787fc completed April 5, 2026, 3:46 p.m.
NED2 Entity disambiguation (via description) batch_69d284956730819099e5cd918e722fd8 completed April 5, 2026, 3:49 p.m.
Created at: March 30, 2026, 8:55 p.m.