Triple

T13414431
Position Surface form Disambiguated ID Type / Status
Subject Lanaudière E313172 entity
Predicate hasRegionalCountyMunicipality P55805 FINISHED
Object Matawinie
Matawinie is a regional county municipality located in the Lanaudière region of Quebec, Canada, known for its forests, lakes, and outdoor recreational activities.
E1039334 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: Matawinie | Statement: [Lanaudière, hasRegionalCountyMunicipality, Matawinie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matawinie
Context triple: [Lanaudière, hasRegionalCountyMunicipality, Matawinie]
  • A. Coquihani
    Coquihani is a traditional Zapotec deity associated with the indigenous religious beliefs and cosmology of the Zapotec people of Oaxaca, Mexico.
  • B. Nakaseke
    Nakaseke is a district in central Uganda that lies within the traditional kingdom of Buganda.
  • C. Namatanai
    Namatanai is a coastal town on the island of New Ireland in Papua New Guinea, serving as a local administrative and commercial center.
  • D. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • E. Maonai
    Maonai is a coastal village in Indonesia’s Mentawai Islands that was heavily impacted by the 2010 Mentawai earthquake and tsunami.
  • 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: Matawinie
Triple: [Lanaudière, hasRegionalCountyMunicipality, Matawinie]
Generated description
Matawinie is a regional county municipality located in the Lanaudière region of Quebec, Canada, known for its forests, lakes, and outdoor recreational activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matawinie
Target entity description: Matawinie is a regional county municipality located in the Lanaudière region of Quebec, Canada, known for its forests, lakes, and outdoor recreational activities.
  • A. Coquihani
    Coquihani is a traditional Zapotec deity associated with the indigenous religious beliefs and cosmology of the Zapotec people of Oaxaca, Mexico.
  • B. Nakaseke
    Nakaseke is a district in central Uganda that lies within the traditional kingdom of Buganda.
  • C. Namatanai
    Namatanai is a coastal town on the island of New Ireland in Papua New Guinea, serving as a local administrative and commercial center.
  • D. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • E. Maonai
    Maonai is a coastal village in Indonesia’s Mentawai Islands that was heavily impacted by the 2010 Mentawai earthquake and tsunami.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308095548190afb659b84f2775f2 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f73242a368819080ceda37583c0d7c completed May 3, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69f732b3ba748190b2a430300e798ed8 completed May 3, 2026, 11:34 a.m.
Created at: April 9, 2026, 9:39 p.m.