Triple

T12346744
Position Surface form Disambiguated ID Type / Status
Subject Lossiemouth E294374 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Seatown
Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
 E978938 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: [Lossiemouth, hasNeighbourhood, Seatown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seatown
Context triple: [Lossiemouth, hasNeighbourhood, Seatown]
  • A. Oldtown
    Oldtown was the original pioneer settlement that later developed into present-day Harrodsburg, Kentucky, one of the earliest permanent communities in the state.
  • B. 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.
  • C. Oldtown
    Oldtown is a small settlement located within County Fingal in Ireland, known for its rural character and proximity to Dublin.
  • D. 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."
  • E. Old Town
    Old Town is the historic central district of Olkusz, characterized by its preserved medieval urban layout, traditional architecture, and cultural landmarks.
  • 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: [Lossiemouth, hasNeighbourhood, Seatown]
Generated description
Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seatown
Target entity description: Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
  • A. Oldtown
    Oldtown was the original pioneer settlement that later developed into present-day Harrodsburg, Kentucky, one of the earliest permanent communities in the state.
  • B. 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.
  • C. Oldtown
    Oldtown is a small settlement located within County Fingal in Ireland, known for its rural character and proximity to Dublin.
  • D. 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."
  • E. Old Town
    Old Town is the historic central district of Olkusz, characterized by its preserved medieval urban layout, traditional architecture, and cultural landmarks.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7a4a448190aa70d66dc2f406c1 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aae8d7c8190a722c28a5a153d1d completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c55aacc8190a0544306825bdfab completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d51ab8081909c6f534051019dca completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:53 p.m.