Triple

T38072668
Position Surface form Disambiguated ID Type / Status
Subject Bordon, Hampshire, England E950625 entity
Predicate nearbyHeathland P199306 FINISHED
Object Woolmer Forest
Woolmer Forest is a significant lowland heathland and nature reserve in Hampshire, England, noted for its rich biodiversity and protected habitats.
 E2254400 NE FINISHED

How this triple was built (3 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: Woolmer Forest | Statement: [Bordon, Hampshire, England, nearbyHeathland, Woolmer Forest]
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: Woolmer Forest
Triple: [Bordon, Hampshire, England, nearbyHeathland, Woolmer Forest]
Generated description
Woolmer Forest is a significant lowland heathland and nature reserve in Hampshire, England, noted for its rich biodiversity and protected habitats.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nearbyHeathland
Context triple: [Bordon, Hampshire, England, nearbyHeathland, Woolmer Forest]
  • A. nearbyFell
    Indicates that one entity fell or collapsed in close physical proximity to another entity or reference point.
  • B. hasNearbyWoodland
    Indicates that one entity is located close to or in the immediate vicinity of a woodland area associated with another entity.
  • C. hasNearbyGreenSpace
    Indicates that an entity is located close to an area of green space, such as a park, garden, or natural vegetation.
  • D. nearbyCountryPark
    Indicates that a country park is located close to or within a short distance of a given reference place or area.
  • E. hasNearbyNatureReserve
    Indicates that one place or entity is located close to a designated nature reserve.
  • F. None of above. chosen

Provenance (7 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_69f76f02a6c48190a94f3c0b3ee90cf2 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69ff2d22ffb48190ae58ddf3c7e02869 completed May 9, 2026, 12:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a415d43b0c08190ae3ac1e22dae8791 completed June 28, 2026, 5:43 p.m.
NEDg Description generation batch_6a415dfc9b308190b75033cd89dd1a1f completed June 28, 2026, 5:46 p.m.
NED2 Entity disambiguation (via description) batch_6a415f54846081909b862a6d8c2cc73a completed June 28, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69ff2ac2e1c4819096cc64e94aef2ff0 completed May 9, 2026, 12:38 p.m.
PDg Predicate description generation batch_69ff2d21f0a48190ad2ef5901cb07d93 completed May 9, 2026, 12:48 p.m.
Created at: May 3, 2026, 4:21 p.m.