Triple

T8684760
Position Surface form Disambiguated ID Type / Status
Subject MARCH E206129 entity
Predicate hasLocalGovernmentWard P14475 FINISHED
Object March South
March South is an electoral ward forming part of the local government area for the town of March in Cambridgeshire, England.
E752412 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: March South | Statement: [MARCH, hasLocalGovernmentWard, March South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: March South
Context triple: [MARCH, hasLocalGovernmentWard, March South]
  • A. March East
    March East is an electoral ward forming part of the local government area for the town of March in Cambridgeshire, England.
  • B. Southern Crescent
    The Southern Crescent was a famed Southern Railway passenger train that provided luxurious long-distance service between Washington, D.C., and New Orleans during the mid-20th century.
  • C. Ob. Süd
    Ob. Süd was the German military high command responsible for directing operations in the southern theater, particularly in the Mediterranean and North Africa, during World War II.
  • D. Southern Mam
    Southern Mam is a regional variety of the Mam Mayan language spoken primarily in parts of Guatemala.
  • E. Sunbelt
    Sunbelt is a region of the United States known for its warm climate, rapid population growth, and expanding economic development, especially in the South and Southwest.
  • 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: March South
Triple: [MARCH, hasLocalGovernmentWard, March South]
Generated description
March South is an electoral ward forming part of the local government area for the town of March in Cambridgeshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: March South
Target entity description: March South is an electoral ward forming part of the local government area for the town of March in Cambridgeshire, England.
  • A. March East
    March East is an electoral ward forming part of the local government area for the town of March in Cambridgeshire, England.
  • B. Southern Crescent
    The Southern Crescent was a famed Southern Railway passenger train that provided luxurious long-distance service between Washington, D.C., and New Orleans during the mid-20th century.
  • C. Ob. Süd
    Ob. Süd was the German military high command responsible for directing operations in the southern theater, particularly in the Mediterranean and North Africa, during World War II.
  • D. Southern Mam
    Southern Mam is a regional variety of the Mam Mayan language spoken primarily in parts of Guatemala.
  • E. Sunbelt
    Sunbelt is a region of the United States known for its warm climate, rapid population growth, and expanding economic development, especially in the South and Southwest.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4aeae740819099093906ccc5f640 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf287f05748190b41c606eaae5d0b7 completed April 3, 2026, 2:39 a.m.
NEDg Description generation batch_69cf2bcff84881908a7985fdf8189583 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2ca1ddac8190a36367e6bba8e3c8 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:32 p.m.