Triple

T13044614
Position Surface form Disambiguated ID Type / Status
Subject Sheen E327284 entity
Predicate hasHistoricalName P2834 FINISHED
Object Shene
Shene is a historical name associated with the area now known as Sheen, reflecting its earlier designation in local records and usage.
 E1018208 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: Shene | Statement: [Sheen, hasHistoricalName, Shene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shene
Context triple: [Sheen, hasHistoricalName, Shene]
  • A. Saane
    The Saane, also known as the Sarine, is a major river in western Switzerland that flows through the canton of Fribourg before joining the Aare.
  • B. Sharod
    Sharod is the given first name of former NFL wide receiver Roddy White.
  • C. Shimona
    Shimona is a feminine given name, typically considered a variant of Simone.
  • D. Sanaig
    Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
  • E. Sanhe
    Sanhe is a county-level city in northern China’s Hebei province, administered by the prefecture-level city of Langfang near the Beijing–Tianjin region.
  • 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: Shene
Triple: [Sheen, hasHistoricalName, Shene]
Generated description
Shene is a historical name associated with the area now known as Sheen, reflecting its earlier designation in local records and usage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shene
Target entity description: Shene is a historical name associated with the area now known as Sheen, reflecting its earlier designation in local records and usage.
  • A. Saane
    The Saane, also known as the Sarine, is a major river in western Switzerland that flows through the canton of Fribourg before joining the Aare.
  • B. Sharod
    Sharod is the given first name of former NFL wide receiver Roddy White.
  • C. Shimona
    Shimona is a feminine given name, typically considered a variant of Simone.
  • D. Sanaig
    Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
  • E. Sanhe
    Sanhe is a county-level city in northern China’s Hebei province, administered by the prefecture-level city of Langfang near the Beijing–Tianjin region.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98050157c8190bb8c640b759ac2b7 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd720248190a23a07dadc7e1348 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd706f548190af79efa973434af9 completed May 3, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce23ca208190960409130c4c52a9 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:56 p.m.