Triple

T11515942
Position Surface form Disambiguated ID Type / Status
Subject Lake Eyasi region E273029 entity
Predicate near P350 FINISHED
Object Ngorongoro Highlands E500024 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: Ngorongoro Highlands | Statement: [Lake Eyasi region, near, Ngorongoro Highlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngorongoro Highlands
Context triple: [Lake Eyasi region, near, Ngorongoro Highlands]
  • A. Ngorongoro Highlands chosen
    The Ngorongoro Highlands are a volcanic highland region in northern Tanzania known for their dramatic craters, rich wildlife, and Maasai pastoralist communities within the broader Ngorongoro ecosystem.
  • B. Lichenya Plateau
    Lichenya Plateau is a high, expansive upland area on Malawi’s Mount Mulanje, known for its scenic grasslands, forests, and hiking routes.
  • C. Kama Valley
    Kama Valley is a mountainous valley in eastern Afghanistan notable as a primary homeland of the Ashkun-speaking Nuristani communities.
  • D. Kenyan highlands
    The Kenyan highlands are a fertile, elevated region of Kenya known for their cool climate, intensive agriculture, and dense rural population.
  • E. Kigezi Highlands
    The Kigezi Highlands are a mountainous region in southwestern Uganda known for their steep terraced hills, cool climate, and rich biodiversity, including habitats for endangered mountain gorillas.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcc72a48190b81acedfcc8685d3 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625143a608190a1119b30c08df0fd completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.