Triple

T8449177
Position Surface form Disambiguated ID Type / Status
Subject Dulwich E199758 entity
Predicate contains P35 FINISHED
Object Dulwich Wood
Dulwich Wood is an ancient woodland in south London, valued as a rare remnant of the historic Great North Wood and a popular local nature and recreation area.
 E735013 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: Dulwich Wood | Statement: [Dulwich, contains, Dulwich Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dulwich Wood
Context triple: [Dulwich, contains, Dulwich Wood]
  • A. Cornard Wood
    Cornard Wood is a celebrated landscape painting by Thomas Gainsborough depicting the rural English countryside near Great Cornard in Suffolk.
  • B. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • C. Bricket Wood
    Bricket Wood is a village and residential community in Hertfordshire, England, known for its commuter links to London and surrounding countryside.
  • D. Hinchley Wood
    Hinchley Wood is a suburban residential area in Surrey, England, known for its commuter links to London and proximity to green spaces.
  • E. Queen’s Wood
    Queen’s Wood is an ancient woodland and nature reserve in north London known for its rich biodiversity, walking trails, and tranquil green space amid the urban environment.
  • 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: Dulwich Wood
Triple: [Dulwich, contains, Dulwich Wood]
Generated description
Dulwich Wood is an ancient woodland in south London, valued as a rare remnant of the historic Great North Wood and a popular local nature and recreation area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dulwich Wood
Target entity description: Dulwich Wood is an ancient woodland in south London, valued as a rare remnant of the historic Great North Wood and a popular local nature and recreation area.
  • A. Cornard Wood
    Cornard Wood is a celebrated landscape painting by Thomas Gainsborough depicting the rural English countryside near Great Cornard in Suffolk.
  • B. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • C. Bricket Wood
    Bricket Wood is a village and residential community in Hertfordshire, England, known for its commuter links to London and surrounding countryside.
  • D. Hinchley Wood
    Hinchley Wood is a suburban residential area in Surrey, England, known for its commuter links to London and proximity to green spaces.
  • E. Queen’s Wood
    Queen’s Wood is an ancient woodland and nature reserve in north London known for its rich biodiversity, walking trails, and tranquil green space amid the urban environment.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe445b7988190b53ae45070c70d1d completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dc85e48819083340d022d0dba9b completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce1f88d404819096c6024c0e61d1ea completed April 2, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ce209338b48190ba8375200a5529bd completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:09 p.m.