Triple

T12555288
Position Surface form Disambiguated ID Type / Status
Subject Warfield E295197 entity
Predicate hasSettlement P1068 FINISHED
Object Maidens Green
Maidens Green is a small hamlet in the civil parish of Warfield in Berkshire, England.
E1002183 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: Maidens Green | Statement: [Warfield, hasSettlement, Maidens Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maidens Green
Context triple: [Warfield, hasSettlement, Maidens Green]
  • A. Greensward
    Greensward is a large open meadow in Overton Park in Memphis, Tennessee, popular for recreation, picnics, and community events.
  • B. Wylde Green
    Wylde Green is a suburban railway station in the West Midlands, England, serving the Wylde Green area of Sutton Coldfield on the Cross-City Line.
  • C. Ravenhill
    Ravenhill is a strategic outpost overlooking the Lonely Mountain in J.R.R. Tolkien’s Middle-earth, notable as the site of Thorin Oakenshield’s final stand and death during the Battle of the Five Armies.
  • D. Ravenhill
    Ravenhill is a residential district within the City and County of Swansea in Wales, known for its local community amenities and suburban character.
  • E. Nightcliff
    Nightcliff is a coastal suburb of Darwin in Australia's Northern Territory, known for its scenic foreshore, jetty, and relaxed residential atmosphere.
  • 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: Maidens Green
Triple: [Warfield, hasSettlement, Maidens Green]
Generated description
Maidens Green is a small hamlet in the civil parish of Warfield in Berkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maidens Green
Target entity description: Maidens Green is a small hamlet in the civil parish of Warfield in Berkshire, England.
  • A. Greensward
    Greensward is a large open meadow in Overton Park in Memphis, Tennessee, popular for recreation, picnics, and community events.
  • B. Wylde Green
    Wylde Green is a suburban railway station in the West Midlands, England, serving the Wylde Green area of Sutton Coldfield on the Cross-City Line.
  • C. Ravenhill
    Ravenhill is a strategic outpost overlooking the Lonely Mountain in J.R.R. Tolkien’s Middle-earth, notable as the site of Thorin Oakenshield’s final stand and death during the Battle of the Five Armies.
  • D. Ravenhill
    Ravenhill is a residential district within the City and County of Swansea in Wales, known for its local community amenities and suburban character.
  • E. Nightcliff
    Nightcliff is a coastal suburb of Darwin in Australia's Northern Territory, known for its scenic foreshore, jetty, and relaxed residential atmosphere.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95490d2708190857f0cb9b8dd6a30 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d672808190b72a923e285a91bb completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f68687e15481908d1ddd017747695f completed May 2, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69f686ec54288190bd1adcbd9c900c90 completed May 2, 2026, 11:21 p.m.
Created at: April 8, 2026, 11:45 p.m.