Triple

T8768893
Position Surface form Disambiguated ID Type / Status
Subject Zanian languages E208405 entity
Predicate hasProtoLanguage P2179 FINISHED
Object Proto-Zan E204204 NE FINISHED

How this triple was built (2 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: Proto-Zan | Statement: [Zanian languages, hasProtoLanguage, Proto-Zan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Proto-Zan
Context triple: [Zanian languages, hasProtoLanguage, Proto-Zan]
  • A. Zan chosen
    Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
  • B. Zwan
    Zwan was a short-lived early-2000s alternative rock supergroup formed by Smashing Pumpkins frontman Billy Corgan.
  • C. Zunz
    Zunz is a German-Jewish surname most prominently associated with Leopold Zunz, a pioneering 19th-century scholar of Jewish studies and founder of the "Science of Judaism" movement.
  • D. 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.
  • E. Zas
    Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eec49708190ba760d81a7974c50 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51af01e48190af674a03d0768f3b completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:41 p.m.