Triple

T33679124
Position Surface form Disambiguated ID Type / Status
Subject Dover E862845 entity
Predicate hasParkOrGreenSpaceNearby P33602 FINISHED
Object Dover Forest
Dover Forest is a secondary woodland area in Singapore known for its rich biodiversity and as a key site in local conservation and land-use debates.
 E2062381 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: Dover Forest | Statement: [Dover, hasParkOrGreenSpaceNearby, Dover 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: Dover Forest
Triple: [Dover, hasParkOrGreenSpaceNearby, Dover Forest]
Generated description
Dover Forest is a secondary woodland area in Singapore known for its rich biodiversity and as a key site in local conservation and land-use debates.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasParkOrGreenSpaceNearby
Context triple: [Dover, hasParkOrGreenSpaceNearby, Dover Forest]
  • A. hasNearbyGreenSpace chosen
    Indicates that an entity is located close to an area of green space, such as a park, garden, or natural vegetation.
  • B. hasGreenSpaces
    Indicates that an entity includes or is associated with areas of vegetation or natural greenery, such as parks, gardens, or lawns.
  • C. isNeighborhoodParkOf
    Indicates that a park is located within and serves as a local recreational area for a specific neighborhood.
  • D. hasNearbyProvincialPark
    Indicates that one entity is located close to, or in the vicinity of, a provincial park.
  • E. isGreenSpaceFor
    Indicates that one entity serves as a designated green or open space intended for use or benefit by another entity.
  • F. None of above.

Provenance (6 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_69f34985885c8190914322f492e04703 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff49f888348190b9c55afa73b99e6a completed May 9, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36273636e081908aa6303637e42b90 completed June 20, 2026, 5:37 a.m.
NEDg Description generation batch_6a363604dcd48190b05cdc9ba84ec7d5 completed June 20, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_6a3636794d788190bfbe562605278e45 completed June 20, 2026, 6:43 a.m.
PD Predicate disambiguation batch_69ff49614ef88190ac70b034c55ad738 completed May 9, 2026, 2:49 p.m.
Created at: May 1, 2026, 1:43 a.m.