Triple

T10665378
Position Surface form Disambiguated ID Type / Status
Subject Midgham E251342 entity
Predicate hasFeature P182 FINISHED
Object Midgham Green
Midgham Green is a small green or common area within the village of Midgham in Berkshire, England, typically serving as a local open space for the community.
 E880009 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: Midgham Green | Statement: [Midgham, hasFeature, Midgham Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Midgham Green
Context triple: [Midgham, hasFeature, Midgham Green]
  • A. Southwick Green
    Southwick Green is a central public green and recreational open space in the village of Southwick, West Sussex, England.
  • B. Talbot Green
    Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
  • C. Benhall Green
    Benhall Green is a small rural village located within the county of Suffolk in eastern England.
  • D. Hough Green
    Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
  • E. Richmond Green
    Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
  • 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: Midgham Green
Triple: [Midgham, hasFeature, Midgham Green]
Generated description
Midgham Green is a small green or common area within the village of Midgham in Berkshire, England, typically serving as a local open space for the community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Midgham Green
Target entity description: Midgham Green is a small green or common area within the village of Midgham in Berkshire, England, typically serving as a local open space for the community.
  • A. Southwick Green
    Southwick Green is a central public green and recreational open space in the village of Southwick, West Sussex, England.
  • B. Talbot Green
    Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
  • C. Benhall Green
    Benhall Green is a small rural village located within the county of Suffolk in eastern England.
  • D. Hough Green
    Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
  • E. Richmond Green
    Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31f87748190bb44db8afa901763 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998b77db08190bce5a7ce24dbc085 completed April 11, 2026, 12:41 a.m.
NEDg Description generation batch_69d99e8312188190bec3090f34a7b9b9 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69d99f50e0888190b8e7b2547e1526af completed April 11, 2026, 1:09 a.m.
Created at: April 8, 2026, 9:08 p.m.