Triple

T17098898
Position Surface form Disambiguated ID Type / Status
Subject Laudot E414924 entity
Predicate hasConnectionWith P845 FINISHED
Object Rigole de la Plaine
Rigole de la Plaine is a French irrigation and feeder canal that supplies water to the Canal du Midi from the Montagne Noire region.
 E1249760 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: Rigole de la Plaine | Statement: [Laudot, hasConnectionWith, Rigole de la Plaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rigole de la Plaine
Context triple: [Laudot, hasConnectionWith, Rigole de la Plaine]
  • A. Tournelle
    Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
  • B. L’Ecrin
    L’Ecrin is the fine-dining gastronomic restaurant located within the luxury Hôtel de Crillon in Paris.
  • C. Boulingrin
    Boulingrin is a central area in Rouen, France, known for serving as a key terminus of the city’s tramway network.
  • D. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • E. Étangs de Ville-d'Avray
    Étangs de Ville-d'Avray are picturesque ponds on the outskirts of Paris, France, known for their tranquil natural setting and association with 19th-century landscape painters.
  • 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: Rigole de la Plaine
Triple: [Laudot, hasConnectionWith, Rigole de la Plaine]
Generated description
Rigole de la Plaine is a French irrigation and feeder canal that supplies water to the Canal du Midi from the Montagne Noire region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rigole de la Plaine
Target entity description: Rigole de la Plaine is a French irrigation and feeder canal that supplies water to the Canal du Midi from the Montagne Noire region.
  • A. Tournelle
    Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
  • B. L’Ecrin
    L’Ecrin is the fine-dining gastronomic restaurant located within the luxury Hôtel de Crillon in Paris.
  • C. Boulingrin
    Boulingrin is a central area in Rouen, France, known for serving as a key terminus of the city’s tramway network.
  • D. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • E. Étangs de Ville-d'Avray
    Étangs de Ville-d'Avray are picturesque ponds on the outskirts of Paris, France, known for their tranquil natural setting and association with 19th-century landscape painters.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbffafb08190baf9e0b4fdf1b404 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eefd5f08190b9eb8a81e45a9921 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012fe2a1b081909483baef845cc2c1 completed May 11, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0130c2ad9881909d8a8b64ebb59aa6 completed May 11, 2026, 1:28 a.m.
Created at: April 10, 2026, 5:35 a.m.