Triple

T13367268
Position Surface form Disambiguated ID Type / Status
Subject Forest, Belgium E318970 entity
Predicate localNameFrench P6538 FINISHED
Object Forest E393674 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: Forest | Statement: [Forest, Belgium, localNameFrench, Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Forest
Context triple: [Forest, Belgium, localNameFrench, Forest]
  • A. Forest
    Forest is the central protagonist of the game *Devs*, around whom the story’s main events and character dynamics revolve.
  • B. Forest chosen
    Forest is a municipality in the Brussels-Capital Region of Belgium, known for its mix of residential areas, green spaces, and cultural venues.
  • C. Woodland
    Woodland is a small city in California’s Sacramento Valley known as an agricultural and administrative hub for Yolo County.
  • D. Woodland
    Woodland is a small city located in Talbot County, Georgia, in the United States.
  • E. Woodland
    Woodland is a small rural community located in the state of Maine in the United States.
  • 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: localNameFrench
Context triple: [Forest, Belgium, localNameFrench, Forest]
  • A. nameInFrench chosen
    Indicates that an entity is known or referred to by a specific name expressed in the French language.
  • B. isFrancophoneCounterpartOf
    Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
  • C. hasNameInOccitan
    Indicates that an entity is associated with a specific name expressed in the Occitan language.
  • D. localLanguageName
    Indicates the name of a language as it is written or referred to in its own local or native form.
  • E. primaryFrenchDestination
    Indicates that one entity is the main or most significant travel destination in France for another entity.
  • F. None of above.

Provenance (4 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
PD Predicate disambiguation batch_69d9a02c9abc8190b328e7bae747bfc5 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:32 p.m.