Triple

T3111864
Position Surface form Disambiguated ID Type / Status
Subject Manicaland Province E64969 entity
Predicate hasTown P847 FINISHED
Object Chimanimani E324743 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: Chimanimani | Statement: [Manicaland Province, hasTown, Chimanimani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chimanimani
Context triple: [Manicaland Province, hasTown, Chimanimani]
  • A. Chimanimani Mountains chosen
    The Chimanimani Mountains are a rugged, biodiverse mountain range forming part of the border between Zimbabwe and Mozambique, renowned for their dramatic peaks, unique flora and fauna, and popular hiking trails.
  • B. Mount Mtatsminda
    Mount Mtatsminda is a prominent mountain overlooking Tbilisi, Georgia, known for its panoramic views, historic sites, and cultural landmarks.
  • C. Mount Mahawu
    Mount Mahawu is a stratovolcano in North Sulawesi, Indonesia, known for its accessible crater, geothermal features, and panoramic views of the surrounding highlands.
  • D. Mount Mulanje
    Mount Mulanje is a massive granite inselberg and popular trekking destination in southern Malawi, renowned for its dramatic peaks, deep forested valleys, and rich biodiversity.
  • E. Gigiri
    Gigiri is an affluent diplomatic and residential district in Nairobi, Kenya, known for hosting major international institutions and embassies.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43b0b3c8190a828c9cfcf730ed9 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235a8949881908496a1413ffa2658 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:04 p.m.