Triple

T15438058
Position Surface form Disambiguated ID Type / Status
Subject Perthes-lès-Hurlus E369820 entity
Predicate locatedNear P294 FINISHED
Object Suippes
Suippes is a commune in northeastern France’s Marne department, known for its World War I history and large military camp.
E1157998 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: Suippes | Statement: [Perthes-lès-Hurlus, locatedNear, Suippes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suippes
Context triple: [Perthes-lès-Hurlus, locatedNear, Suippes]
  • A. Suippe
    The Suippe is a river in northeastern France that flows through the Champagne region before joining the Aisne.
  • B. Suau
    Suau is an Oceanic language spoken by communities in southeastern Papua New Guinea, particularly in Milne Bay Province.
  • C. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • D. Pinnau
    The Pinnau is a river in northern Germany that flows through the district of Pinneberg in the state of Schleswig-Holstein before emptying into the Elbe.
  • E. Sioule
    The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
  • 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: Suippes
Triple: [Perthes-lès-Hurlus, locatedNear, Suippes]
Generated description
Suippes is a commune in northeastern France’s Marne department, known for its World War I history and large military camp.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suippes
Target entity description: Suippes is a commune in northeastern France’s Marne department, known for its World War I history and large military camp.
  • A. Suippe
    The Suippe is a river in northeastern France that flows through the Champagne region before joining the Aisne.
  • B. Suau
    Suau is an Oceanic language spoken by communities in southeastern Papua New Guinea, particularly in Milne Bay Province.
  • C. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • D. Pinnau
    The Pinnau is a river in northern Germany that flows through the district of Pinneberg in the state of Schleswig-Holstein before emptying into the Elbe.
  • E. Sioule
    The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a7d44481909a26b5cc331a3259 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff23348a448190a2a2953a18b29aaf completed May 9, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff240af68c8190af88834d97a42afb completed May 9, 2026, 12:09 p.m.
Created at: April 10, 2026, 3:21 a.m.