Triple

T18978575
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Montbéliard E464360 entity
Predicate contains P35 FINISHED
Object Seloncourt
Seloncourt is a commune in eastern France’s Bourgogne-Franche-Comté region, near the Swiss border, historically known for its watchmaking industry.
E1360625 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: Seloncourt | Statement: [arrondissement of Montbéliard, contains, Seloncourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seloncourt
Context triple: [arrondissement of Montbéliard, contains, Seloncourt]
  • A. Libercourt
    Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
  • B. Rachecourt
    Rachecourt is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
  • C. Rocourt
    Rocourt is a district of Liège in present-day Belgium, historically notable as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
  • D. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • E. Bonvillars
    Bonvillars is a small Swiss municipality in the canton of Vaud, known for its vineyards and location near Lake Neuchâtel.
  • 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: Seloncourt
Triple: [arrondissement of Montbéliard, contains, Seloncourt]
Generated description
Seloncourt is a commune in eastern France’s Bourgogne-Franche-Comté region, near the Swiss border, historically known for its watchmaking industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seloncourt
Target entity description: Seloncourt is a commune in eastern France’s Bourgogne-Franche-Comté region, near the Swiss border, historically known for its watchmaking industry.
  • A. Libercourt
    Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
  • B. Rachecourt
    Rachecourt is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
  • C. Rocourt
    Rocourt is a district of Liège in present-day Belgium, historically notable as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
  • D. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • E. Bonvillars
    Bonvillars is a small Swiss municipality in the canton of Vaud, known for its vineyards and location near Lake Neuchâtel.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d621e3e08190b2d1d969ecaa380b completed April 20, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f23b6be481908636b5b48066364d completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f303c4fc8190a9a972dd1561bc84 completed May 15, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4039ca881908679e5da604eea50 completed May 15, 2026, 10:22 a.m.
Created at: April 10, 2026, noon