Triple

T4287334
Position Surface form Disambiguated ID Type / Status
Subject Lac de la Ganguise E97300 entity
Predicate hasWatercourse P165 FINISHED
Object Ganguise
Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
 E426062 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: Ganguise | Statement: [Lac de la Ganguise, hasWatercourse, Ganguise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ganguise
Context triple: [Lac de la Ganguise, hasWatercourse, Ganguise]
  • A. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • B. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • C. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • D. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • E. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • 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: Ganguise
Triple: [Lac de la Ganguise, hasWatercourse, Ganguise]
Generated description
Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ganguise
Target entity description: Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • A. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • B. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • C. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • D. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • E. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505ef9fc81909c73e64bf77052ce completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c8c1ac819086ded38c1abe9b63 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b8e9ab9c81909a19062a901e8a1b completed March 14, 2026, 7:37 p.m.
NED2 Entity disambiguation (via description) batch_69b5b95cfbdc8190b65cf338aa9abd5b completed March 14, 2026, 7:39 p.m.
Created at: March 12, 2026, 11:08 p.m.