Triple

T10035921
Position Surface form Disambiguated ID Type / Status
Subject Wantage E204968 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object White Horse Hill E220734 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: White Horse Hill | Statement: [Wantage, hasNearbyLandmark, White Horse Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Horse Hill
Context triple: [Wantage, hasNearbyLandmark, White Horse Hill]
  • A. White Horse Hill chosen
    White Horse Hill is a prominent chalk hill in Oxfordshire, England, best known for the prehistoric Uffington White Horse hill figure and its surrounding ancient earthworks.
  • B. Hango Hill
    Hango Hill is a historic execution site and coastal promontory near Castletown on the Isle of Man, known for its association with the island’s former rulers.
  • C. Šiška Hill
    Šiška Hill is a wooded elevation in Ljubljana, Slovenia, known as a popular recreational and walking area within the broader Tivoli–Rožnik–Šiška Hill landscape park.
  • D. Brown Hill
    Brown Hill is a small community located within the town of East Gwillimbury in Ontario, Canada.
  • E. Pigeon Hill
    Pigeon Hill is a historic Civil War battlefield site in Georgia, known for its role in the 1864 Battle of Kennesaw Mountain.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4bb3408190ac5dae4718ef7cad completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28258ab088190a31ad5854d91193b completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.