Triple

T16080309
Position Surface form Disambiguated ID Type / Status
Subject Galguduud E390091 entity
Predicate hasTown P847 FINISHED
Object Elbur
Elbur is a town in the Galguduud region of central Somalia, known historically as a local administrative and trading center.
E1193076 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: Elbur | Statement: [Galguduud, hasTown, Elbur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elbur
Context triple: [Galguduud, hasTown, Elbur]
  • A. Elrig
    Elrig is a small rural settlement located in the Machars peninsula of Dumfries and Galloway in southwest Scotland.
  • B. Eliburn
    Eliburn is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • C. Heul
    Heul is a small waterway in the Westland region of South Holland in the Netherlands, historically associated with the village of Kwintsheul and its surrounding polder landscape.
  • D. Delabole
    Delabole is a village in north Cornwall, England, historically known for its large slate quarry and rural community.
  • E. Effurun
    Effurun is a prominent urban center in Delta State, Nigeria, known as a key commercial and cultural hub of the Urhobo people.
  • 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: Elbur
Triple: [Galguduud, hasTown, Elbur]
Generated description
Elbur is a town in the Galguduud region of central Somalia, known historically as a local administrative and trading center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elbur
Target entity description: Elbur is a town in the Galguduud region of central Somalia, known historically as a local administrative and trading center.
  • A. Elrig
    Elrig is a small rural settlement located in the Machars peninsula of Dumfries and Galloway in southwest Scotland.
  • B. Eliburn
    Eliburn is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • C. Heul
    Heul is a small waterway in the Westland region of South Holland in the Netherlands, historically associated with the village of Kwintsheul and its surrounding polder landscape.
  • D. Delabole
    Delabole is a village in north Cornwall, England, historically known for its large slate quarry and rural community.
  • E. Effurun
    Effurun is a prominent urban center in Delta State, Nigeria, known as a key commercial and cultural hub of the Urhobo people.
  • 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_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.
NEDg Description generation batch_69ffe6af1c4081908b57f4dc485fbb14 completed May 10, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69ffe769d56081908f723e92d327e315 completed May 10, 2026, 2:03 a.m.
Created at: April 10, 2026, 4:57 a.m.