Triple

T9885552
Position Surface form Disambiguated ID Type / Status
Subject Saguenay–Lac-Saint-Jean E180922 entity
Predicate hasCity P316 FINISHED
Object Alma
Alma is a small industrial and service city in Quebec, Canada, located in the Saguenay–Lac-Saint-Jean region and known for its aluminum production and proximity to Lac Saint-Jean.
 E827733 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: Alma | Statement: [Saguenay–Lac-Saint-Jean, hasCity, Alma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alma
Context triple: [Saguenay–Lac-Saint-Jean, hasCity, Alma]
  • A. Alma
    Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
  • B. Alma
    Alma is a historic British Army battle honour commemorating the Battle of the Alma in the Crimean War.
  • C. Alma
    Alma is a feminine given name of Latin origin meaning "nourishing" or "kind," used in various cultures around the world.
  • D. Mena
    Mena is a small town located in northern Ukraine’s Chernihiv region, known for its rural character and local agricultural activities.
  • E. Ellah
    Ellah is a given name, typically used as a feminine variant of the name Ella.
  • 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: Alma
Triple: [Saguenay–Lac-Saint-Jean, hasCity, Alma]
Generated description
Alma is a small industrial and service city in Quebec, Canada, located in the Saguenay–Lac-Saint-Jean region and known for its aluminum production and proximity to Lac Saint-Jean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alma
Target entity description: Alma is a small industrial and service city in Quebec, Canada, located in the Saguenay–Lac-Saint-Jean region and known for its aluminum production and proximity to Lac Saint-Jean.
  • A. Alma
    Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
  • B. Alma
    Alma is a historic British Army battle honour commemorating the Battle of the Alma in the Crimean War.
  • C. Alma
    Alma is a feminine given name of Latin origin meaning "nourishing" or "kind," used in various cultures around the world.
  • D. Mena
    Mena is a small town located in northern Ukraine’s Chernihiv region, known for its rural character and local agricultural activities.
  • E. Ellah
    Ellah is a given name, typically used as a feminine variant of the name Ella.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45659748190a3ebd1abe23c8779 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eaf6a5848190ad031bdb195cd4ce completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1ed1b40ec81909360de54225e8994 completed April 5, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69d1ed7bf8a08190b50a1a31875e5591 completed April 5, 2026, 5:05 a.m.
Created at: March 30, 2026, 8:38 p.m.