Triple

T3887449
Position Surface form Disambiguated ID Type / Status
Subject Papelotte farm E92976 entity
Predicate nearby P350 FINISHED
Object Smohain
Smohain is a small hamlet in Belgium notable for its proximity to key sites on the Waterloo battlefield.
E396981 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: Smohain | Statement: [Papelotte farm, nearby, Smohain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smohain
Context triple: [Papelotte farm, nearby, Smohain]
  • A. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • B. Deûle
    The Deûle is a canalised river in northern France that flows through the Lille metropolitan area and serves as an important waterway for the region.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Thérain
    Thérain is a river in northern France that flows through the Oise department before joining the Oise River.
  • E. Aue
    Aue is a town in the Ore Mountains region of Saxony, Germany, known historically for its mining industry and role as a local transport hub.
  • 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: Smohain
Triple: [Papelotte farm, nearby, Smohain]
Generated description
Smohain is a small hamlet in Belgium notable for its proximity to key sites on the Waterloo battlefield.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Smohain
Target entity description: Smohain is a small hamlet in Belgium notable for its proximity to key sites on the Waterloo battlefield.
  • A. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • B. Deûle
    The Deûle is a canalised river in northern France that flows through the Lille metropolitan area and serves as an important waterway for the region.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Thérain
    Thérain is a river in northern France that flows through the Oise department before joining the Oise River.
  • E. Aue
    Aue is a town in the Ore Mountains region of Saxony, Germany, known historically for its mining industry and role as a local transport hub.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeecabe3548190a5cbf9d0af0bcfb6 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c8bfd68819084a0228ce6f6b94d completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d72707c8190a3522d449299ed1e completed March 14, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_69b51e08c7ac8190aab4b270258cdb69 completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:20 p.m.