Triple

T4931716
Position Surface form Disambiguated ID Type / Status
Subject Porrentruy E110710 entity
Predicate twinnedWith P1072 FINISHED
Object Saint-Claude
Saint-Claude is a commune in eastern France, historically known for its pipe-making industry and scenic location in the Jura Mountains.
 E513031 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: Saint-Claude | Statement: [Porrentruy, twinnedWith, Saint-Claude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saint-Claude
Context triple: [Porrentruy, twinnedWith, Saint-Claude]
  • A. Saint-Claude
    Saint-Claude is a commune in southern Basse-Terre, Guadeloupe, known as a gateway town for hikes and excursions to the active volcano La Soufrière.
  • B. Charolles
    Charolles is a small historic town in eastern France, known as the traditional capital of the Charolais cattle-breeding region.
  • C. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • D. Thonon-les-Bains
    Thonon-les-Bains is a French spa and resort town in the Haute-Savoie region, known for its lakeside setting on Lake Geneva and views of the Alps.
  • E. Échirolles
    Échirolles is a suburban commune in southeastern France, forming part of the Grenoble metropolitan area in the Isère department.
  • 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: Saint-Claude
Triple: [Porrentruy, twinnedWith, Saint-Claude]
Generated description
Saint-Claude is a commune in eastern France, historically known for its pipe-making industry and scenic location in the Jura Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saint-Claude
Target entity description: Saint-Claude is a commune in eastern France, historically known for its pipe-making industry and scenic location in the Jura Mountains.
  • A. Saint-Claude
    Saint-Claude is a commune in southern Basse-Terre, Guadeloupe, known as a gateway town for hikes and excursions to the active volcano La Soufrière.
  • B. Charolles
    Charolles is a small historic town in eastern France, known as the traditional capital of the Charolais cattle-breeding region.
  • C. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • D. Thonon-les-Bains
    Thonon-les-Bains is a French spa and resort town in the Haute-Savoie region, known for its lakeside setting on Lake Geneva and views of the Alps.
  • E. Échirolles
    Échirolles is a suburban commune in southeastern France, forming part of the Grenoble metropolitan area in the Isère department.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7063c57c8190a5a6fb3586238d35 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf219bdd208190990db4b0fa89066a completed March 21, 2026, 10:54 p.m.
NEDg Description generation batch_69bf2202acc88190bddeb94d404dd175 completed March 21, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_69bf226771008190b5edecc05ae9a7eb completed March 21, 2026, 10:57 p.m.
Created at: March 20, 2026, 1:30 p.m.