Triple

T16472840
Position Surface form Disambiguated ID Type / Status
Subject Écouen E400107 entity
Predicate locatedNear P294 FINISHED
Object Montmorency forest E770201 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: Montmorency forest | Statement: [Écouen, locatedNear, Montmorency forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montmorency forest
Context triple: [Écouen, locatedNear, Montmorency forest]
  • A. Montmorency forest chosen
    Montmorency forest is a large woodland area north of Paris, France, known for its extensive hiking trails, natural landscapes, and historical sites.
  • B. Forêt de Marly
    Forêt de Marly is a historic woodland area in the Île-de-France region of north-central France, known for its royal hunting past and proximity to Paris.
  • C. Fontenelle Forest
    Fontenelle Forest is a large, historically significant nature preserve and forested park along the Missouri River in eastern Nebraska, known for its hiking trails, wildlife, and conservation efforts.
  • D. Forêt d’Écouves
    Forêt d’Écouves is a large, historic forest in Normandy, France, known for its extensive woodlands, diverse wildlife, and role as a major natural area within the Orne department.
  • E. Chaux forest
    Chaux forest is one of the largest deciduous forests in France, known for its extensive woodland and historical role in supplying timber and fuel to nearby saltworks and industries.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd266c48190991a1484eb2f7bcc completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5d16008190bd874080e86b8a2f completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.