Triple

T15490063
Position Surface form Disambiguated ID Type / Status
Subject Pool Department E378657 entity
Predicate containsTown P847 FINISHED
Object Loumo
Loumo is a town located within the jurisdiction of the Pool Department in the Republic of the Congo.
 E1160833 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: Loumo | Statement: [Pool Department, containsTown, Loumo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loumo
Context triple: [Pool Department, containsTown, Loumo]
  • A. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • B. Lumalee
    Lumalee is a melancholic blue Luma character from The Super Mario Bros. Movie, known for its darkly humorous, existential outlook despite its cute star-like appearance.
  • C. Lomu
    Lomu is a surname most famously associated with Jonah Lomu, the legendary New Zealand rugby union winger.
  • D. Looc
    Looc is a coastal municipality located on Tablas Island in the province of Romblon in the Philippines, known for its marine sanctuary and fishing communities.
  • E. Morolo
    Morolo is a small town and comune in the province of Frosinone in Italy’s Lazio region.
  • 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: Loumo
Triple: [Pool Department, containsTown, Loumo]
Generated description
Loumo is a town located within the jurisdiction of the Pool Department in the Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loumo
Target entity description: Loumo is a town located within the jurisdiction of the Pool Department in the Republic of the Congo.
  • A. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • B. Lumalee
    Lumalee is a melancholic blue Luma character from The Super Mario Bros. Movie, known for its darkly humorous, existential outlook despite its cute star-like appearance.
  • C. Lomu
    Lomu is a surname most famously associated with Jonah Lomu, the legendary New Zealand rugby union winger.
  • D. Looc
    Looc is a coastal municipality located on Tablas Island in the province of Romblon in the Philippines, known for its marine sanctuary and fishing communities.
  • E. Morolo
    Morolo is a small town and comune in the province of Frosinone in Italy’s Lazio region.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fac2af88190ac1d119e6b21dbe0 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365f27c48190822254b6da504d3d completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff375856448190a61979dfff751f06 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff382f1bbc8190810d0d825430f9ea completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:48 a.m.