Triple

T16746653
Position Surface form Disambiguated ID Type / Status
Subject Ho E406972 entity
Predicate near P350 FINISHED
Object Akwapim-Togo Range E583496 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: Akwapim-Togo Range | Statement: [Ho, near, Akwapim-Togo Range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akwapim-Togo Range
Context triple: [Ho, near, Akwapim-Togo Range]
  • A. Akwapim-Togo Range chosen
    The Akwapim-Togo Range is a chain of hills and mountains in southeastern Ghana extending into Togo, known for its scenic landscapes, biodiversity, and role as a natural boundary in the region.
  • B. Guinea Highlands
    The Guinea Highlands is a mountainous region in West Africa known for its rich mineral resources and as the headwaters of several major rivers, including the Niger.
  • C. Erongo Mountains
    The Erongo Mountains are an ancient, eroded volcanic massif in central Namibia known for their dramatic granite formations, rich biodiversity, and significant archaeological and rock art sites.
  • D. Guinean Loma
    Guinean Loma is a regional variety of the Loma language spoken primarily in parts of Guinea.
  • E. Nafusa Mountains
    The Nafusa Mountains are a rugged mountain range in northwestern Libya, known for their Berber communities, historical resistance movements, and strategic position overlooking the Tripolitanian plain.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa2311748190a17416de577ad159 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52033748190ae207d72d437236b completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.