Triple

T15321029
Position Surface form Disambiguated ID Type / Status
Subject Manantali Dam E366289 entity
Predicate managedBy P86 FINISHED
Object SOGEM
SOGEM is a regional West African organization responsible for operating and managing the Manantali Dam and its associated hydroelectric infrastructure.
E1150506 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: SOGEM | Statement: [Manantali Dam, managedBy, SOGEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SOGEM
Context triple: [Manantali Dam, managedBy, SOGEM]
  • A. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • B. Soyembika
    Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
  • C. Somosomo
    Somosomo is a coastal village on the Fijian island of Taveuni, known as a traditional center of chiefly authority and local administration.
  • D. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • E. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • 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: SOGEM
Triple: [Manantali Dam, managedBy, SOGEM]
Generated description
SOGEM is a regional West African organization responsible for operating and managing the Manantali Dam and its associated hydroelectric infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SOGEM
Target entity description: SOGEM is a regional West African organization responsible for operating and managing the Manantali Dam and its associated hydroelectric infrastructure.
  • A. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • B. Soyembika
    Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
  • C. Somosomo
    Somosomo is a coastal village on the Fijian island of Taveuni, known as a traditional center of chiefly authority and local administration.
  • D. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • E. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd460288190b5c41f0a0aeee949 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a9085881909904152c32b0fed1 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefc8251d08190bf8a764f83f89d7e completed May 9, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69fefd6c2bf88190b17a03be7b3353e3 completed May 9, 2026, 9:25 a.m.
Created at: April 10, 2026, 3:16 a.m.