Triple

T7787990
Position Surface form Disambiguated ID Type / Status
Subject Tisiway E187295 entity
Predicate alternateName P39 FINISHED
Object Siwi E29648 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: Siwi | Statement: [Tisiway, alternateName, Siwi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siwi
Context triple: [Tisiway, alternateName, Siwi]
  • A. Siwi chosen
    Siwi is a Berber language spoken primarily in Egypt’s Siwa Oasis, known for its unique features and relative isolation from other Berber varieties.
  • B. Shenwa Berber
    Shenwa Berber is a Northern Berber language variety spoken by the Chenoua people in northern Algeria, known for its distinct phonology and vocabulary within the Zenati subgroup.
  • C. Siwan
    Siwan is a town and district headquarters in the Indian state of Bihar, known for its historical significance and political prominence.
  • D. Siwan
    Siwan is the Welsh name for Joan, Lady of Wales, the illegitimate daughter of King John of England and wife of Llywelyn the Great.
  • E. Tiwa
    Tiwa is a Tanoan language spoken by several Pueblo communities in northern New Mexico and southern Colorado, central to their cultural and ceremonial life.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cae7e779ec8190b77296d9c2ac3210 completed March 30, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf61f77808190a5a1814fe1cb7ae1 completed March 30, 2026, 10:15 p.m.
Created at: March 30, 2026, 4:24 p.m.