Triple

T4457504
Position Surface form Disambiguated ID Type / Status
Subject Witham E97765 entity
Predicate hasPostTown P2711 FINISHED
Object WITHAM
WITHAM is a town in the county of Essex, England, known for its historic high street and role as a commuter hub between Colchester and London.
E442143 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: WITHAM | Statement: [Witham, hasPostTown, WITHAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WITHAM
Context triple: [Witham, hasPostTown, WITHAM]
  • A. WAMO
    WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
  • B. Worsham
    Worsham is a small rural village located within the district of West Oxfordshire in Oxfordshire, England.
  • C. WAT
    WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
  • D. Wat
    Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
  • E. Alloway
    Alloway is a village in South Ayrshire, Scotland, best known as the birthplace of the poet Robert Burns.
  • 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: WITHAM
Triple: [Witham, hasPostTown, WITHAM]
Generated description
WITHAM is a town in the county of Essex, England, known for its historic high street and role as a commuter hub between Colchester and London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WITHAM
Target entity description: WITHAM is a town in the county of Essex, England, known for its historic high street and role as a commuter hub between Colchester and London.
  • A. WAMO
    WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
  • B. Worsham
    Worsham is a small rural village located within the district of West Oxfordshire in Oxfordshire, England.
  • C. WAT
    WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
  • D. Wat
    Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
  • E. Alloway
    Alloway is a village in South Ayrshire, Scotland, best known as the birthplace of the poet Robert Burns.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356434e9481908f883c09e0908f6b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6282ea6308190b726a9f8176d4d1b completed March 15, 2026, 3:31 a.m.
NEDg Description generation batch_69b6295218e88190a48e8bfeb2febe2e completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62b05bcec8190a0c8d1c0e5a62c75 completed March 15, 2026, 3:44 a.m.
Created at: March 12, 2026, 11:33 p.m.