Triple

T9163832
Position Surface form Disambiguated ID Type / Status
Subject Epte River E219896 entity
Predicate sourceLocatedNear P8203 FINISHED
Object Forges-les-Eaux
Forges-les-Eaux is a spa town in northern France known historically for its mineral springs and therapeutic baths.
 E788515 NE FINISHED

How this triple was built (4 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: Forges-les-Eaux | Statement: [Epte River, sourceLocatedNear, Forges-les-Eaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Forges-les-Eaux
Context triple: [Epte River, sourceLocatedNear, Forges-les-Eaux]
  • A. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • B. La Roche-sur-Foron
    La Roche-sur-Foron is a small historic town in the Haute-Savoie department of southeastern France, situated in the Arve Valley between Annecy and Geneva.
  • C. Sorgues
    Sorgues is a commune in southeastern France’s Vaucluse department, known for its location near Avignon and its position at the confluence of the Ouvèze and Sorgue rivers.
  • D. Villefontaine
    Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
  • E. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Forges-les-Eaux
Triple: [Epte River, sourceLocatedNear, Forges-les-Eaux]
Generated description
Forges-les-Eaux is a spa town in northern France known historically for its mineral springs and therapeutic baths.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Forges-les-Eaux
Target entity description: Forges-les-Eaux is a spa town in northern France known historically for its mineral springs and therapeutic baths.
  • A. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • B. La Roche-sur-Foron
    La Roche-sur-Foron is a small historic town in the Haute-Savoie department of southeastern France, situated in the Arve Valley between Annecy and Geneva.
  • C. Sorgues
    Sorgues is a commune in southeastern France’s Vaucluse department, known for its location near Avignon and its position at the confluence of the Ouvèze and Sorgue rivers.
  • D. Villefontaine
    Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
  • E. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2d6628819084ac4734650fe912 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b7f95f88190af9c88105abb2964 completed April 4, 2026, 5:02 a.m.
NEDg Description generation batch_69d09ca202f88190b21b89e61b1596ff completed April 4, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69d09d914d688190af609c4485c746cc completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:21 p.m.