Triple

T16170357
Position Surface form Disambiguated ID Type / Status
Subject Middle Juba E392417 entity
Predicate containsSettlement P847 FINISHED
Object Sakow
Sakow is a town in southern Somalia that serves as an important local center within the Middle Juba region.
E1197029 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: Sakow | Statement: [Middle Juba, containsSettlement, Sakow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakow
Context triple: [Middle Juba, containsSettlement, Sakow]
  • A. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • B. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • C. Shklow
    Shklow is a town in eastern Belarus known for its historical significance and location along the Dnieper River in the Mogilev Region.
  • D. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • E. Rakoń
    Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
  • 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: Sakow
Triple: [Middle Juba, containsSettlement, Sakow]
Generated description
Sakow is a town in southern Somalia that serves as an important local center within the Middle Juba region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sakow
Target entity description: Sakow is a town in southern Somalia that serves as an important local center within the Middle Juba region.
  • A. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • B. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • C. Shklow
    Shklow is a town in eastern Belarus known for its historical significance and location along the Dnieper River in the Mogilev Region.
  • D. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • E. Rakoń
    Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb6de30819083af54b50ae5ae51 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bd87f08190a9f2a1524e5db2ba completed May 10, 2026, 3:13 a.m.
NEDg Description generation batch_69fff82b34408190ac40018f940ae370 completed May 10, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_69fff8905ce48190b99f8cc3504efba2 completed May 10, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:02 a.m.