Triple

T10731239
Position Surface form Disambiguated ID Type / Status
Subject Marsamxett Harbour E253078 entity
Predicate adjacentTown P3883 FINISHED
Object Msida
Msida is a coastal town and local council in central Malta known for its marina, university campus, and role as a residential and commercial hub near Valletta.
 E882510 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: Msida | Statement: [Marsamxett Harbour, adjacentTown, Msida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Msida
Context triple: [Marsamxett Harbour, adjacentTown, Msida]
  • A. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • B. Mambasa
    Mambasa is a town and administrative center located in the forested Ituri region of northeastern Democratic Republic of the Congo.
  • C. Maswa
    Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu Region.
  • D. Kidal
    Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
  • E. Mvumbi
    Mvumbi is the Zulu name of Albert Luthuli, the South African anti-apartheid leader and Nobel Peace Prize laureate.
  • 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: Msida
Triple: [Marsamxett Harbour, adjacentTown, Msida]
Generated description
Msida is a coastal town and local council in central Malta known for its marina, university campus, and role as a residential and commercial hub near Valletta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Msida
Target entity description: Msida is a coastal town and local council in central Malta known for its marina, university campus, and role as a residential and commercial hub near Valletta.
  • A. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • B. Mambasa
    Mambasa is a town and administrative center located in the forested Ituri region of northeastern Democratic Republic of the Congo.
  • C. Maswa
    Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu Region.
  • D. Kidal
    Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
  • E. Mvumbi
    Mvumbi is the Zulu name of Albert Luthuli, the South African anti-apartheid leader and Nobel Peace Prize laureate.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fcb1cd881909635def59ad5d19c completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbda1d1b108190a47b46661bc85b2d completed April 12, 2026, 5:45 p.m.
NEDg Description generation batch_69dcad07b51081908fd66ee9ff7341f6 completed April 13, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_69dd4386e3308190bb8503ce75fa628f completed April 13, 2026, 7:27 p.m.
Created at: April 8, 2026, 9:14 p.m.