Triple

T3843132
Position Surface form Disambiguated ID Type / Status
Subject Jubaland E93501 entity
Predicate hasMajorCity P316 FINISHED
Object Jamaame
Jamaame is a significant urban and economic center in southern Somalia’s Jubaland region, known especially for its agricultural production and location along the Jubba River.
 E392416 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: Jamaame | Statement: [Jubaland, hasMajorCity, Jamaame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jamaame
Context triple: [Jubaland, hasMajorCity, Jamaame]
  • A. Omaar
    Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
  • B. Jarma
    Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
  • C. Wakema
    Wakema is a town in Myanmar’s Ayeyarwady Region, known as the birthplace of former Burmese Prime Minister U Nu.
  • D. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • E. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • 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: Jamaame
Triple: [Jubaland, hasMajorCity, Jamaame]
Generated description
Jamaame is a significant urban and economic center in southern Somalia’s Jubaland region, known especially for its agricultural production and location along the Jubba River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jamaame
Target entity description: Jamaame is a significant urban and economic center in southern Somalia’s Jubaland region, known especially for its agricultural production and location along the Jubba River.
  • A. Omaar
    Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
  • B. Jarma
    Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
  • C. Wakema
    Wakema is a town in Myanmar’s Ayeyarwady Region, known as the birthplace of former Burmese Prime Minister U Nu.
  • D. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • E. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb4fd308190a636ba9dbbe57ed6 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040f93948190b104cf1b7db671b7 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504c46dcc8190a9775c39e5c734a9 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b505742830819093a861bde17c03c0 completed March 14, 2026, 6:51 a.m.
Created at: March 9, 2026, 3:18 p.m.