Triple

T22736402
Position Surface form Disambiguated ID Type / Status
Subject Gosport Peninsula E562282 entity
Predicate hasSettlement P1068 FINISHED
Object Rowner
Rowner is a residential suburb and historic area within the town of Gosport in Hampshire, England.
E1552379 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: Rowner | Statement: [Gosport Peninsula, hasSettlement, Rowner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rowner
Context triple: [Gosport Peninsula, hasSettlement, Rowner]
  • A. Rohrer
    Rohrer is a surname most notably associated with Swiss physicist Heinrich Rohrer, co-inventor of the scanning tunneling microscope and Nobel Prize laureate.
  • B. Roal
    Roal is a small settlement located in the Hadeland district of southeastern Norway.
  • C. Ranst
    Ranst is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the city of Antwerp.
  • D. Roden
    Roden is a town in the Dutch province of Drenthe known as a local service and population center within the municipality of Noordenveld.
  • E. Roden
    Roden is a Czech surname most notably borne by actor Karel Roden, known for his work in both Czech and international films.
  • 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: Rowner
Triple: [Gosport Peninsula, hasSettlement, Rowner]
Generated description
Rowner is a residential suburb and historic area within the town of Gosport in Hampshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rowner
Target entity description: Rowner is a residential suburb and historic area within the town of Gosport in Hampshire, England.
  • A. Rohrer
    Rohrer is a surname most notably associated with Swiss physicist Heinrich Rohrer, co-inventor of the scanning tunneling microscope and Nobel Prize laureate.
  • B. Roal
    Roal is a small settlement located in the Hadeland district of southeastern Norway.
  • C. Ranst
    Ranst is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the city of Antwerp.
  • D. Roden
    Roden is a town in the Dutch province of Drenthe known as a local service and population center within the municipality of Noordenveld.
  • E. Roden
    Roden is a Czech surname most notably borne by actor Karel Roden, known for his work in both Czech and international films.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796fc2a88190a4d86b421345b088 completed April 29, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fcc0f7881908e1579bae911c3b6 completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b91253b5c8190b7fc62f7524017e6 completed May 18, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b91cbb52481909d0b092475aa4d36 completed May 18, 2026, 10:25 p.m.
Created at: April 17, 2026, 3:22 p.m.