Triple

T16728492
Position Surface form Disambiguated ID Type / Status
Subject Runda E406524 entity
Predicate nearbyPlace P2064 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: [Runda, nearbyPlace, Muthaiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muthaiga
Context triple: [Runda, nearbyPlace, 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. Thammattama
    Thammattama is a traditional Sri Lankan twin-drum percussion instrument, prominently used to accompany Kandyan dance performances.
  • D. Mookajji
    Mookajji is the wise, introspective grandmother figure at the heart of the Kannada novel "Mookajjiya Kanasugalu," known for her visionary dreams and philosophical reflections on life and tradition.
  • E. Muthu
    Muthu is a popular 1995 Indian Tamil-language masala film starring Rajinikanth, known for its blend of action, drama, and comedy and for significantly boosting his fame in Japan.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38749baa48190892b2e2b978f6eb6 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d483a8c8190b127f32dcc21be5a completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.