Triple

T20954928
Position Surface form Disambiguated ID Type / Status
Subject Dreams in a Time of War E516073 entity
Predicate settingPlace P1957 FINISHED
Object Limuru 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: Limuru | Statement: [Dreams in a Time of War, settingPlace, Limuru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limuru
Context triple: [Dreams in a Time of War, settingPlace, Limuru]
  • A. Limuru chosen
    Limuru is a highland town in central Kenya known for its cool climate, tea plantations, and proximity to Nairobi.
  • B. Yaunde
    Yaunde is an alternative name for Kolo, likely referring to the same place or entity under a different local or historical designation.
  • C. Mbewuleni
    Mbewuleni is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of former South African president Thabo Mbeki.
  • D. Napirisha
    Napirisha is a major Elamite god, often regarded as a supreme or creator deity associated with water and the highlands in ancient Elamite religion.
  • E. Mogoro
    Mogoro is a small town and municipality in central-western Sardinia, Italy, known for its traditional crafts and wine production.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fae2299c8190afa1b9ec5bd9df32 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:28 p.m.