Triple

T21054062
Position Surface form Disambiguated ID Type / Status
Subject Tana River County E518662 entity
Predicate hasSettlement P1068 FINISHED
Object Garsen NE NERFINISHED

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: Garsen | Statement: [Tana River County, hasSettlement, Garsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garsen
Context triple: [Tana River County, hasSettlement, Garsen]
  • A. Garsen chosen
    Garsen is a small Kenyan town that serves as an important local administrative and trading center in Tana River County.
  • B. Morthal
    Morthal is a small, mist-shrouded town in the Hjaalmarch marshes of Skyrim, known for its eerie atmosphere and isolation in The Elder Scrolls series.
  • C. Aldenrade
    Aldenrade is a district within the Walsum borough of Duisburg in North Rhine-Westphalia, Germany.
  • D. Tanarus
    Tanarus is an ancient name variant for the Tanaro River in northwestern Italy, a significant tributary of the Po River.
  • E. Lasham
    Lasham is a small rural village in Hampshire, England, best known for its large gliding airfield and aviation activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.