Triple

T8730008
Position Surface form Disambiguated ID Type / Status
Subject Borama script E207229 entity
Predicate distinctFrom P1612 FINISHED
Object Kaddare script E206755 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: Kaddare script | Statement: [Borama script, distinctFrom, Kaddare script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaddare script
Context triple: [Borama script, distinctFrom, Kaddare script]
  • A. Kaddare script chosen
    The Kaddare script is an indigenous writing system devised in the 20th century for the Somali language, notable for its unique letter forms and role in efforts to standardize Somali orthography.
  • B. K.F. Tirana
    K.F. Tirana is a professional football club based in Tirana, Albania, and one of the country’s most successful and historically significant teams.
  • C. Seraiki
    Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • D. Ahmeti
    Ahmeti is a surname and given name commonly found in Albanian and other Balkan cultures, derived from the name Ahmet.
  • E. Lumi i Tiranës
    Lumi i Tiranës is the Albanian name for the main river flowing through Albania’s capital city, Tirana.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d26d280819085e15d4917c2b9a5 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42b0f5808190863a1ca3c4e9c8d1 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:37 p.m.