Triple

T8540755
Position Surface form Disambiguated ID Type / Status
Subject Karura Forest E202187 entity
Predicate near P350 FINISHED
Object Muthaiga E406523 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: Muthaiga | Statement: [Karura Forest, near, Muthaiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muthaiga
Context triple: [Karura Forest, near, Muthaiga]
  • A. Muthaiga chosen
    Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
  • B. Badagu Thittu
    Badagu Thittu is a major northern style of the traditional South Indian dance-drama Yakshagana, known for its elaborate costumes, vigorous dance, and distinctive musical patterns.
  • C. Shinde
    Shinde is an Indian surname historically associated with the Maratha community and borne by several notable political and public figures.
  • D. Chenchukuli
    Chenchukuli is an alternative name for the Chenchu language, a Dravidian language spoken by the Chenchu people of India.
  • E. Bhyrappa
    Bhyrappa is an Indian surname most prominently associated with S. L. Bhyrappa, a renowned Kannada novelist and philosopher.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e10bc081909a7210c577b807fb completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d9d06e48190a5c0cfa9779fc07c completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:18 p.m.