Triple

T14844472
Position Surface form Disambiguated ID Type / Status
Subject Golden Cap E349049 entity
Predicate nearbySettlement P350 FINISHED
Object Seatown
Seatown is a small coastal village in Dorset, England, known for its beach, cliffs, and location along the Jurassic Coast.
 E1123918 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: Seatown | Statement: [Golden Cap, nearbySettlement, Seatown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seatown
Context triple: [Golden Cap, nearbySettlement, Seatown]
  • A. Seatown
    Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
  • B. Oldtown
    Oldtown was the original pioneer settlement that later developed into present-day Harrodsburg, Kentucky, one of the earliest permanent communities in the state.
  • C. Oldtown
    Oldtown is one of the oldest and largest cities in the fictional continent of Westeros, famed for its towering Hightower and as the seat of the Citadel where maesters are trained.
  • D. Oldtown
    Oldtown is a small settlement located within County Fingal in Ireland, known for its rural character and proximity to Dublin.
  • E. Seahaven
    Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
  • 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: Seatown
Triple: [Golden Cap, nearbySettlement, Seatown]
Generated description
Seatown is a small coastal village in Dorset, England, known for its beach, cliffs, and location along the Jurassic Coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seatown
Target entity description: Seatown is a small coastal village in Dorset, England, known for its beach, cliffs, and location along the Jurassic Coast.
  • A. Seatown
    Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
  • B. Oldtown
    Oldtown was the original pioneer settlement that later developed into present-day Harrodsburg, Kentucky, one of the earliest permanent communities in the state.
  • C. Oldtown
    Oldtown is one of the oldest and largest cities in the fictional continent of Westeros, famed for its towering Hightower and as the seat of the Citadel where maesters are trained.
  • D. Oldtown
    Oldtown is a small settlement located within County Fingal in Ireland, known for its rural character and proximity to Dublin.
  • E. Seahaven
    Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded291103c8190a64cfe700bfee197 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe65010190819083ec051eb5d82839 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66bae148819080b3d6d3526a0dbb completed May 8, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69fe6736ff34819098524e4401a414aa completed May 8, 2026, 10:44 p.m.
Created at: April 10, 2026, 1:53 a.m.