Triple

T15656488
Position Surface form Disambiguated ID Type / Status
Subject Hurtwood Forest E376454 entity
Predicate locatedIn P40 FINISHED
Object Surrey Hills E98000 NE FINISHED

How this triple was built (2 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: Surrey Hills | Statement: [Hurtwood Forest, locatedIn, Surrey Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surrey Hills
Context triple: [Hurtwood Forest, locatedIn, Surrey Hills]
  • A. Surrey Hills chosen
    Surrey Hills is an Area of Outstanding Natural Beauty in southeast England known for its rolling countryside, woodlands, and picturesque villages.
  • B. Malvern Hills
    Malvern Hills is a range of hills in western England known for its dramatic scenery, ancient geology, and historic spa town of Great Malvern.
  • C. North Downs
    The North Downs are a range of chalk hills in southeast England, known for their scenic landscapes, walking trails, and areas of outstanding natural beauty.
  • D. Snelsmore
    Snelsmore is a small settlement in Berkshire, England, known for its rural character and proximity to Snelsmore Common nature reserve.
  • E. Surrey Weald
    Surrey Weald is a rural, historically wooded lowland area in southeast England characterized by rolling farmland, scattered woodlands, and traditional villages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef1f83c8190bbf65eed162cbd55 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7569d30c8190a711d78d05e9b8c5 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:15 a.m.