Triple

T17364093
Position Surface form Disambiguated ID Type / Status
Subject Southwest Region of Cameroon E422142 entity
Predicate majorCity P316 FINISHED
Object Tiko NE ONNED1

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: Tiko | Statement: [Southwest Region of Cameroon, majorCity, Tiko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiko
Context triple: [Southwest Region of Cameroon, majorCity, Tiko]
  • A. Tiko chosen
    Tiko is a coastal town and port in southwestern Cameroon known for its agricultural activities and role as a transport hub.
  • B. Tico
    Tico is a character from the comedy television series "Los Espookys," known for his laid-back personality and supportive role within the show's eccentric ensemble.
  • C. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • D. Tiki the Warrior
    Tiki the Warrior is the costumed club mascot of the New Zealand Warriors rugby league team, embodying the side’s warrior-themed identity at games and events.
  • E. Ticha
    Ticha is a retired Portuguese basketball point guard best known for her standout WNBA career, particularly with the Sacramento Monarchs.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4f52988190847230e119a35b87 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01956294ec819083c1dde8fc2685e4 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.