Triple

T18760647
Position Surface form Disambiguated ID Type / Status
Subject Geldern E458759 entity
Predicate twinTown P1072 FINISHED
Object Pontaumur
Pontaumur is a small commune in central France, known for its rural setting in the Puy-de-Dôme department of the Auvergne region.
 E1342114 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: Pontaumur | Statement: [Geldern, twinTown, Pontaumur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pontaumur
Context triple: [Geldern, twinTown, Pontaumur]
  • A. Ponta
    Ponta is a Romanian surname most notably borne by Victor Ponta, a former Prime Minister of Romania.
  • B. Ponta Baleia
    Ponta Baleia is a small coastal settlement on the southern tip of São Tomé Island in São Tomé and Príncipe, known primarily as the mainland departure point for boats to Ilhéu das Rolas.
  • C. La Punta
    La Punta is a planned city in central Argentina known for its rapid development and modern infrastructure within San Luis Province.
  • D. La Punta
    La Punta is a small coastal district of the Constitutional Province of Callao in Peru, known for its beaches, historic architecture, and naval and port-related activities.
  • E. Punta Brava
    Punta Brava is a locality in Cuba historically known as the site where independence leader Antonio Maceo was killed in battle.
  • 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: Pontaumur
Triple: [Geldern, twinTown, Pontaumur]
Generated description
Pontaumur is a small commune in central France, known for its rural setting in the Puy-de-Dôme department of the Auvergne region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pontaumur
Target entity description: Pontaumur is a small commune in central France, known for its rural setting in the Puy-de-Dôme department of the Auvergne region.
  • A. Ponta
    Ponta is a Romanian surname most notably borne by Victor Ponta, a former Prime Minister of Romania.
  • B. Ponta Baleia
    Ponta Baleia is a small coastal settlement on the southern tip of São Tomé Island in São Tomé and Príncipe, known primarily as the mainland departure point for boats to Ilhéu das Rolas.
  • C. La Punta
    La Punta is a small coastal district of the Constitutional Province of Callao in Peru, known for its beaches, historic architecture, and naval and port-related activities.
  • D. La Punta
    La Punta is a planned city in central Argentina known for its rapid development and modern infrastructure within San Luis Province.
  • E. Punta Brava
    Punta Brava is a locality in Cuba historically known as the site where independence leader Antonio Maceo was killed in battle.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d7ecca881909d6c262837b621b3 completed April 20, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d3e4f048190b72ec4ed1dec6c55 completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a053f3c45308190a87170c5d54ff3cd completed May 14, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a053fd358a08190a1cd97c02f0e814e completed May 14, 2026, 3:21 a.m.
Created at: April 10, 2026, 11:52 a.m.