Triple

T1284625
Position Surface form Disambiguated ID Type / Status
Subject Meso-Melanesian languages E27405 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Kubokota 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: Kubokota | Statement: [Meso-Melanesian languages, hasMemberLanguage, Kubokota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kubokota
Context triple: [Meso-Melanesian languages, hasMemberLanguage, Kubokota]
  • A. 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.
  • B. Kokota chosen
    Kokota is an Oceanic language spoken in the Solomon Islands, particularly on Santa Isabel Island.
  • C. Kot Diji
    Kot Diji is an ancient archaeological and fort site in Sindh, Pakistan, known for its pre-Harappan settlement remains and well-preserved early 19th-century fort.
  • D. Khanbaliq
    Khanbaliq was the Yuan dynasty capital founded by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his Mongol-ruled Chinese empire.
  • E. Kencot
    Kencot is a small rural village in Oxfordshire, England, known for its historic stone cottages and traditional Cotswold character.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b6dda48190a2e79084adea6ec1 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacba08f881909230c2d9459d4bc4 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:50 p.m.