Triple

T13077665
Position Surface form Disambiguated ID Type / Status
Subject Lira E329618 entity
Predicate nearbyTown P3883 FINISHED
Object Dokolo
Dokolo is a town in northern Uganda that serves as the administrative and commercial center of Dokolo District.
E1020038 NE FINISHED

How this triple was built (4 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: Dokolo | Statement: [Lira, nearbyTown, Dokolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dokolo
Context triple: [Lira, nearbyTown, Dokolo]
  • A. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • B. Rokovoko
    Rokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
  • C. Leipoa
    Leipoa is a bird genus in the megapode family best known for including the Australian malleefowl, a ground-dwelling species that incubates its eggs in large mounds of decomposing vegetation.
  • D. Dongiro
    Dongiro is an alternative name for the Nyangatom language, an Eastern Sudanic language spoken by the Nyangatom people of Ethiopia and South Sudan.
  • E. Wokolo
    Wokolo is the largest known impact crater on Umbriel, one of Uranus’s major moons.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dokolo
Triple: [Lira, nearbyTown, Dokolo]
Generated description
Dokolo is a town in northern Uganda that serves as the administrative and commercial center of Dokolo District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dokolo
Target entity description: Dokolo is a town in northern Uganda that serves as the administrative and commercial center of Dokolo District.
  • A. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • B. Rokovoko
    Rokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
  • C. Leipoa
    Leipoa is a bird genus in the megapode family best known for including the Australian malleefowl, a ground-dwelling species that incubates its eggs in large mounds of decomposing vegetation.
  • D. Dongiro
    Dongiro is an alternative name for the Nyangatom language, an Eastern Sudanic language spoken by the Nyangatom people of Ethiopia and South Sudan.
  • E. Wokolo
    Wokolo is the largest known impact crater on Umbriel, one of Uranus’s major moons.
  • F. None of above. chosen

Provenance (5 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9811828448190ac6ddd3e9c221251 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60aaac48190b5b724a19cad5279 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6da9ed7bc8190b1a451ea2ada811d completed May 3, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6db6950b08190a868c9371ff0a34e completed May 3, 2026, 5:21 a.m.
Created at: April 9, 2026, 9:01 p.m.