Triple

T12586582
Position Surface form Disambiguated ID Type / Status
Subject Abitibi-Témiscamingue E300477 entity
Predicate containsSubregion P285 FINISHED
Object Abitibi E451796 NE FINISHED

How this triple was built (2 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: Abitibi | Statement: [Abitibi-Témiscamingue, containsSubregion, Abitibi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abitibi
Context triple: [Abitibi-Témiscamingue, containsSubregion, Abitibi]
  • A. Abitibi chosen
    Abitibi is a resource-rich region in western Quebec, Canada, known for its mining, forestry, and dispersed rural communities.
  • B. Waskaganish
    Waskaganish is a Cree First Nation community in northern Quebec, Canada, located near the mouth of the Rupert River on the eastern shore of James Bay.
  • C. Algonquin
    The Algonquin are an Indigenous people of North America traditionally inhabiting the Ottawa River valley, closely related linguistically and culturally to other Anishinaabe groups.
  • D. Chibougamau
    Chibougamau is a remote mining town in central Quebec, Canada, serving as a regional hub for services, transportation, and resource-based industries in the Nord-du-Québec area.
  • E. Laurentien
    Laurentien is a Dutch princess, writer, and literacy advocate, best known as Princess Laurentien of the Netherlands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bbe72c8190aa11090bb6b480c9 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebed164819083fbdaa775a59cd4 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:05 p.m.