Triple

T680160
Position Surface form Disambiguated ID Type / Status
Subject Gardon River E13163 entity
Predicate alsoKnownAs P39 FINISHED
Object Gardon
Gardon is a river in southern France known for flowing through the Cévennes region and under the famous Pont du Gard Roman aqueduct.
E89752 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: Gardon | Statement: [Gardon River, alsoKnownAs, Gardon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gardon
Context triple: [Gardon River, alsoKnownAs, Gardon]
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Gard
    Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
  • D. Gamay
    Gamay is a red wine grape variety best known for producing light, fruity wines, particularly in France’s Beaujolais region.
  • E. Gachetá
    Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
  • 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: Gardon
Triple: [Gardon River, alsoKnownAs, Gardon]
Generated description
Gardon is a river in southern France known for flowing through the Cévennes region and under the famous Pont du Gard Roman aqueduct.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gardon
Target entity description: Gardon is a river in southern France known for flowing through the Cévennes region and under the famous Pont du Gard Roman aqueduct.
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Gard chosen
    Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
  • D. Gamay
    Gamay is a red wine grape variety best known for producing light, fruity wines, particularly in France’s Beaujolais region.
  • E. Gachetá
    Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
  • F. None of above.

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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04f4efc819082767a7517fa760a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6666745d88190ad09c24724aeac99 completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a666d46ce0819096b66eeb93e8ae89 completed March 3, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69a6673797a8819097b444d783fc8bdc completed March 3, 2026, 4:44 a.m.
Created at: March 1, 2026, 7:36 p.m.