Triple

T21622372
Position Surface form Disambiguated ID Type / Status
Subject Zhagory E533609 entity
Predicate hasAlternativeName P39 FINISHED
Object Zagare
Zagare is a town in northern Lithuania known for its historic architecture, cherry festival, and location near the Latvian border.
 E1492868 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: Zagare | Statement: [Zhagory, hasAlternativeName, Zagare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zagare
Context triple: [Zhagory, hasAlternativeName, Zagare]
  • A. Zag
    Zag is a small town in southern Morocco, located within the Guelmim-Oued Noun region near the edge of the Sahara Desert.
  • B. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • C. Zaar
    Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
  • D. Zagi
    Zagi is a meticulously composed figurative painting by British artist Euan Uglow, exemplifying his precise, measured approach to depicting the human form.
  • E. Dazaga
    Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
  • 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: Zagare
Triple: [Zhagory, hasAlternativeName, Zagare]
Generated description
Zagare is a town in northern Lithuania known for its historic architecture, cherry festival, and location near the Latvian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zagare
Target entity description: Zagare is a town in northern Lithuania known for its historic architecture, cherry festival, and location near the Latvian border.
  • A. Zag
    Zag is a small town in southern Morocco, located within the Guelmim-Oued Noun region near the edge of the Sahara Desert.
  • B. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • C. Zaar
    Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
  • D. Zagi
    Zagi is a meticulously composed figurative painting by British artist Euan Uglow, exemplifying his precise, measured approach to depicting the human form.
  • E. Dazaga
    Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bb0c42c8190997fbeb7a764d60e completed April 27, 2026, 10:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09fd4649ac8190bae1adba3110846b completed May 17, 2026, 5:39 p.m.
NEDg Description generation batch_6a09fe88fd24819097d222291bc63608 completed May 17, 2026, 5:44 p.m.
NED2 Entity disambiguation (via description) batch_6a09ff257c548190a7304bfee02dcbaf completed May 17, 2026, 5:47 p.m.
Created at: April 16, 2026, 6:34 p.m.