Triple

T8837128
Position Surface form Disambiguated ID Type / Status
Subject La Marche E210292 entity
Predicate partlyCorrespondsToModernDepartment P84931 FINISHED
Object Creuse E32501 NE FINISHED

How this triple was built (3 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: Creuse | Statement: [La Marche, partlyCorrespondsToModernDepartment, Creuse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Creuse
Context triple: [La Marche, partlyCorrespondsToModernDepartment, Creuse]
  • A. Creuse chosen
    Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
  • B. Cère
    Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
  • C. Creuse River
    The Creuse River is a major river in central France that flows through the historical regions of Berry and Limousin, known for its scenic valleys and picturesque landscapes.
  • D. Drôme River
    The Drôme River is a scenic waterway in southeastern France known for flowing through the Drôme department and the foothills of the Alps before joining the Rhône.
  • E. Aveyron River
    The Aveyron River is a waterway in southern France known for flowing through scenic gorges and historic towns before joining the Tarn River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: partlyCorrespondsToModernDepartment
Context triple: [La Marche, partlyCorrespondsToModernDepartment, Creuse]
  • A. largestModernDepartment
    Indicates that one entity is the largest modern department (by size, scope, or another defined metric) in relation to a specified set or context.
  • B. worksInDepartment
    Indicates that an entity is employed in and performs their job duties within a particular department.
  • C. departmentType
    Indicates the classification or category of a department, specifying what kind of department it is.
  • D. department
    Indicates that one entity functions as an organizational unit or division within another, typically larger, entity.
  • E. relatedDivision
    Indicates that there is an organizational or structural association between two divisions, such as being counterparts, partners, or otherwise linked within a broader entity.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2571ac8ec8190bf59c2cec5e2e6e2 completed April 5, 2026, 12:35 p.m.
PD Predicate disambiguation batch_69cc5c25b874819084c9ba391703e066 completed March 31, 2026, 11:43 p.m.
PDg Predicate description generation batch_69cc5cff3608819081d2d7e5c16d44b7 completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 6:48 p.m.