Triple

T9269081
Position Surface form Disambiguated ID Type / Status
Subject Warji E222775 entity
Predicate neighboringLanguages P16383 FINISHED
Object Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
E788777 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: Zaar | Statement: [Warji, neighboringLanguages, Zaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaar
Context triple: [Warji, neighboringLanguages, Zaar]
  • A. 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.
  • B. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • C. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • D. Zahar
    Zahar is the surname of Mahmoud Zahar, a prominent Palestinian co-founder and senior leader of the Hamas movement in Gaza.
  • E. Zaurak
    Zaurak is a red giant star in the constellation Eridanus, known for its deep reddish hue and traditional use in celestial navigation and astrology.
  • 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: Zaar
Triple: [Warji, neighboringLanguages, Zaar]
Generated description
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zaar
Target entity description: Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
  • A. 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.
  • B. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • C. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • D. Zahar
    Zahar is the surname of Mahmoud Zahar, a prominent Palestinian co-founder and senior leader of the Hamas movement in Gaza.
  • E. Zaurak
    Zaurak is a red giant star in the constellation Eridanus, known for its deep reddish hue and traditional use in celestial navigation and astrology.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd074ef7408190b213c09491918132 completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c2239a08190b954c8c57ced8fd2 completed April 4, 2026, 5:05 a.m.
NEDg Description generation batch_69d09cf11e488190b61f4a61002454e6 completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2450048190b5aa31507e54d6c8 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:33 p.m.