Triple

T3853333
Position Surface form Disambiguated ID Type / Status
Subject Agly E85349 entity
Predicate flowsNear P350 FINISHED
Object Le Barcarès
Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
E392501 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: Le Barcarès | Statement: [Agly, flowsNear, Le Barcarès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Barcarès
Context triple: [Agly, flowsNear, Le Barcarès]
  • A. Pas de Peyrol
    Pas de Peyrol is a high mountain pass in France’s Massif Central, known as the highest road pass in the Cantal department and a key access point to the Puy Mary.
  • B. Le Lavandou
    Le Lavandou is a seaside resort town on the French Riviera in southeastern France, known for its sandy beaches and Mediterranean coastal scenery.
  • C. La Bérarde
    La Bérarde is a small alpine hamlet in the French Alps, known as a base for mountaineering and hiking in the Écrins massif.
  • D. La Paillade
    La Paillade is the traditional nickname of French football club Montpellier HSC, widely used by supporters and media to refer to the team.
  • E. La Môle
    La Môle is a central fictional nobleman and lover in Alexandre Dumas’s historical novel "Queen Margot," set amid the intrigues and violence of 16th-century 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: Le Barcarès
Triple: [Agly, flowsNear, Le Barcarès]
Generated description
Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Le Barcarès
Target entity description: Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • A. Pas de Peyrol
    Pas de Peyrol is a high mountain pass in France’s Massif Central, known as the highest road pass in the Cantal department and a key access point to the Puy Mary.
  • B. Le Lavandou
    Le Lavandou is a seaside resort town on the French Riviera in southeastern France, known for its sandy beaches and Mediterranean coastal scenery.
  • C. La Bérarde
    La Bérarde is a small alpine hamlet in the French Alps, known as a base for mountaineering and hiking in the Écrins massif.
  • D. La Paillade
    La Paillade is the traditional nickname of French football club Montpellier HSC, widely used by supporters and media to refer to the team.
  • E. La Môle
    La Môle is a central fictional nobleman and lover in Alexandre Dumas’s historical novel "Queen Margot," set amid the intrigues and violence of 16th-century 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec0438308190865ff74bee5a1cf2 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041c7250819093b2743afeb6e36c completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504c46dcc8190a9775c39e5c734a9 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b505742830819093a861bde17c03c0 completed March 14, 2026, 6:51 a.m.
Created at: March 9, 2026, 3:19 p.m.