Triple

T6787009
Position Surface form Disambiguated ID Type / Status
Subject Kokota language E155832 entity
Predicate hasAlternativeName P39 FINISHED
Object Kokota E146929 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: Kokota | Statement: [Kokota language, hasAlternativeName, Kokota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kokota
Context triple: [Kokota language, hasAlternativeName, Kokota]
  • A. Kokota chosen
    Kokota is an Oceanic language spoken in the Solomon Islands, particularly on Santa Isabel Island.
  • B. Kota
    Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
  • C. Uji City
    Uji City is a historic city in Kyoto Prefecture, Japan, renowned for its high-quality green tea production and UNESCO-listed Byōdō-in Temple.
  • D. KOTA
    KOTA is a Timorese political party that participated in the resistance movement against Indonesian occupation and later in East Timor’s post-independence politics.
  • E. Butuan City
    Butuan City is a highly urbanized and historically significant city in the Caraga region of Mindanao in the Philippines, known as a commercial hub and an important archaeological and cultural center.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2907d0081908291aad66048b8b1 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723cc35cc8190b5affdfd363171ba completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:14 p.m.