Triple

T13231316
Position Surface form Disambiguated ID Type / Status
Subject Mbandaka E315024 entity
Predicate formerName P65 FINISHED
Object Coquilhatville
Coquilhatville was the former colonial-era name of the city now known as Mbandaka in the Democratic Republic of the Congo.
E1029016 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: Coquilhatville | Statement: [Mbandaka, formerName, Coquilhatville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coquilhatville
Context triple: [Mbandaka, formerName, Coquilhatville]
  • A. Lewisporte
    Lewisporte is a town in central Newfoundland, Canada, known historically as a key shipping and transportation hub and as a staging point during the 9/11 airlift of transatlantic passengers.
  • B. Papineauville
    Papineauville is a small municipality in western Quebec, Canada, situated along the Ottawa River within the greater Ottawa–Gatineau region.
  • C. Parkeston
    Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
  • D. Port-Salut
    Port-Salut is a coastal town in southern Haiti known for its picturesque beaches and relaxed, tourism-oriented atmosphere.
  • E. Wyandanch
    Wyandanch is a hamlet in the town of Babylon in Suffolk County, New York, located on Long Island.
  • 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: Coquilhatville
Triple: [Mbandaka, formerName, Coquilhatville]
Generated description
Coquilhatville was the former colonial-era name of the city now known as Mbandaka in the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Coquilhatville
Target entity description: Coquilhatville was the former colonial-era name of the city now known as Mbandaka in the Democratic Republic of the Congo.
  • A. Lewisporte
    Lewisporte is a town in central Newfoundland, Canada, known historically as a key shipping and transportation hub and as a staging point during the 9/11 airlift of transatlantic passengers.
  • B. Papineauville
    Papineauville is a small municipality in western Quebec, Canada, situated along the Ottawa River within the greater Ottawa–Gatineau region.
  • C. Parkeston
    Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
  • D. Port-Salut
    Port-Salut is a coastal town in southern Haiti known for its picturesque beaches and relaxed, tourism-oriented atmosphere.
  • E. Wyandanch
    Wyandanch is a hamlet in the town of Babylon in Suffolk County, New York, located on Long Island.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d34ff288190bdb550a019b7a470 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2c07488190ad07c544cca63a7d completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f70408b2088190989c3b38a5d66495 completed May 3, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69f70518acc0819089a987abfd42f928 completed May 3, 2026, 8:19 a.m.
Created at: April 9, 2026, 9:22 p.m.