Triple

T16080553
Position Surface form Disambiguated ID Type / Status
Subject Hawiye E390096 entity
Predicate notableCityPresence P2794 FINISHED
Object Dusmareb E1176157 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: Dusmareb | Statement: [Hawiye, notableCityPresence, Dusmareb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dusmareb
Context triple: [Hawiye, notableCityPresence, Dusmareb]
  • A. Dusmareb chosen
    Dusmareb is a central Somali city that serves as the capital of Galmudug State and a key political and administrative hub in the region.
  • B. Dumbrille
    Dumbrille is a surname most notably associated with Canadian character actor Douglass Dumbrille, known for his prolific work in early Hollywood films.
  • C. Dushore
    Dushore is a small borough in Sullivan County, Pennsylvania, known as a local commercial and community hub in a largely rural, mountainous region.
  • D. Damphreux
    Damphreux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
  • E. Naubise
    Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1844a5c68819086a13c93a787b436 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48adec081909623355eabee472c completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.