Triple

T7268065
Position Surface form Disambiguated ID Type / Status
Subject Sanaga River E161028 entity
Predicate passesNear P416 FINISHED
Object Song Loulou
Song Loulou is a locality in Cameroon situated near the Sanaga River, known for its hydroelectric power facilities.
 E652899 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: Song Loulou | Statement: [Sanaga River, passesNear, Song Loulou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Song Loulou
Context triple: [Sanaga River, passesNear, Song Loulou]
  • A. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • B. Sweet Lorraine
    "Sweet Lorraine" is a popular jazz standard from the 1930s, best known for its many recordings by prominent swing and jazz artists.
  • C. Miss Melody
    "Miss Melody" is a hip-hop-influenced violin track by The Hip-Hop Violinist that blends classical string performance with contemporary urban beats.
  • D. Songsong
    Songsong is the main village and administrative center of the island municipality of Rota in the Northern Mariana Islands.
  • E. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • 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: Song Loulou
Triple: [Sanaga River, passesNear, Song Loulou]
Generated description
Song Loulou is a locality in Cameroon situated near the Sanaga River, known for its hydroelectric power facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Song Loulou
Target entity description: Song Loulou is a locality in Cameroon situated near the Sanaga River, known for its hydroelectric power facilities.
  • A. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • B. Sweet Lorraine
    "Sweet Lorraine" is a popular jazz standard from the 1930s, best known for its many recordings by prominent swing and jazz artists.
  • C. Miss Melody
    "Miss Melody" is a hip-hop-influenced violin track by The Hip-Hop Violinist that blends classical string performance with contemporary urban beats.
  • D. Songsong
    Songsong is the main village and administrative center of the island municipality of Rota in the Northern Mariana Islands.
  • E. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae8cc288190bc3ae3c7b38980d0 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db1e4f9c8190a23ce5a35073b7c7 completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dbd350a08190aa34ada9ba8d39ce completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc7cb2d48190a40523eb7b03a9ef completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:58 p.m.