Triple

T9714385
Position Surface form Disambiguated ID Type / Status
Subject Arcachon E235102 entity
Predicate hasNearbyNaturalFeature P2064 FINISHED
Object Landes forest E235103 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: Landes forest | Statement: [Arcachon, hasNearbyNaturalFeature, Landes forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landes forest
Context triple: [Arcachon, hasNearbyNaturalFeature, Landes forest]
  • A. Landes forest chosen
    Landes forest is a vast man-made pine forest in southwestern France, known as the largest contiguous forest in Western Europe and a major center of timber production and outdoor recreation.
  • B. Emmerdennen forest
    Emmerdennen forest is a wooded nature area near Emmen in the Netherlands, known for its walking trails and prehistoric burial mounds.
  • C. Macchia Forest
    Macchia Forest is a vibrant glass sculpture installation by artist Dale Chihuly, featuring colorful, organic bowl-like forms arranged in a lush, garden-like display.
  • D. Trinity Forest
    Trinity Forest is a wooded area in Dallas, Texas, known as one of the largest urban hardwood forests in the United States.
  • E. Grand Forest
    Grand Forest is a large, wooded park and trail system on Bainbridge Island known for its dense evergreens, wetlands, and network of walking and biking paths.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0a1b548190b34c8571751ca1d3 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f900ca08190a52f042feab2afa3 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.