Triple

T17712186
Position Surface form Disambiguated ID Type / Status
Subject Vatia E441595 entity
Predicate hasLandmark P105 FINISHED
Object Craggy Point
Craggy Point is a coastal headland and scenic natural feature near the village of Vatia in American Samoa.
E1284250 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: Craggy Point | Statement: [Vatia, hasLandmark, Craggy Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craggy Point
Context triple: [Vatia, hasLandmark, Craggy Point]
  • A. Roches Point
    Roches Point is a small lakeside community within the town of Georgina in Ontario, Canada, known for its location on the shores of Lake Simcoe.
  • B. Roches Point
    Roches Point is a headland and lighthouse station marking the entrance to Cork Harbour on the south coast of Ireland.
  • C. Rosses Point
    Rosses Point is a coastal village in County Sligo, Ireland, known for its scenic Atlantic shoreline, maritime heritage, and connections to the Yeats family.
  • D. Anvil Point
    Anvil Point is a prominent coastal headland on England’s Jurassic Coast, known for its lighthouse and dramatic sea cliffs near Swanage in Dorset.
  • E. Nobska Point
    Nobska Point is a coastal headland in Woods Hole, Massachusetts, best known for its historic Nobska Lighthouse overlooking Vineyard Sound.
  • 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: Craggy Point
Triple: [Vatia, hasLandmark, Craggy Point]
Generated description
Craggy Point is a coastal headland and scenic natural feature near the village of Vatia in American Samoa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Craggy Point
Target entity description: Craggy Point is a coastal headland and scenic natural feature near the village of Vatia in American Samoa.
  • A. Roches Point
    Roches Point is a small lakeside community within the town of Georgina in Ontario, Canada, known for its location on the shores of Lake Simcoe.
  • B. Roches Point
    Roches Point is a headland and lighthouse station marking the entrance to Cork Harbour on the south coast of Ireland.
  • C. Rosses Point
    Rosses Point is a coastal village in County Sligo, Ireland, known for its scenic Atlantic shoreline, maritime heritage, and connections to the Yeats family.
  • D. Anvil Point
    Anvil Point is a prominent coastal headland on England’s Jurassic Coast, known for its lighthouse and dramatic sea cliffs near Swanage in Dorset.
  • E. Nobska Point
    Nobska Point is a coastal headland in Woods Hole, Massachusetts, best known for its historic Nobska Lighthouse overlooking Vineyard Sound.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729c2c98819086fe48420217308d completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a023027e52c81908e320ae9a84b8874 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a0230ae9f948190981751c9ca0e9031 completed May 11, 2026, 7:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0234879d348190b023d0522318399d completed May 11, 2026, 7:56 p.m.
Created at: April 10, 2026, 10:06 a.m.