Triple

T12263859
Position Surface form Disambiguated ID Type / Status
Subject Wessex (fictional region) E292291 entity
Predicate hasPart P35 FINISHED
Object Port-Bredy
Port-Bredy is a fictional coastal town in Thomas Hardy’s Wessex, modeled on the real town of Bridport in Dorset, England.
E971220 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: Port-Bredy | Statement: [Wessex (fictional region), hasPart, Port-Bredy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port-Bredy
Context triple: [Wessex (fictional region), hasPart, Port-Bredy]
  • A. Portmadoc
    Portmadoc is the former English name for Porthmadog, a coastal town in Gwynedd, northwest Wales, known historically for its maritime trade and as a gateway to Snowdonia.
  • B. Douarnenez
    Douarnenez is a coastal town in Brittany, France, known for its historic sardine fishing industry and picturesque harbor.
  • C. Portroe
    Portroe is a small rural village in County Tipperary, Ireland, situated near Lough Derg in the country’s midwest.
  • D. Port-Rhu
    Port-Rhu is the historic tidal port and marina area of Douarnenez in Brittany, France, known for its traditional boats and maritime heritage.
  • E. Fouesnant
    Fouesnant is a coastal commune in Brittany, northwestern France, known for its beaches, seaside tourism, and proximity to the Glénan archipelago.
  • 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: Port-Bredy
Triple: [Wessex (fictional region), hasPart, Port-Bredy]
Generated description
Port-Bredy is a fictional coastal town in Thomas Hardy’s Wessex, modeled on the real town of Bridport in Dorset, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Port-Bredy
Target entity description: Port-Bredy is a fictional coastal town in Thomas Hardy’s Wessex, modeled on the real town of Bridport in Dorset, England.
  • A. Portmadoc
    Portmadoc is the former English name for Porthmadog, a coastal town in Gwynedd, northwest Wales, known historically for its maritime trade and as a gateway to Snowdonia.
  • B. Douarnenez
    Douarnenez is a coastal town in Brittany, France, known for its historic sardine fishing industry and picturesque harbor.
  • C. Portroe
    Portroe is a small rural village in County Tipperary, Ireland, situated near Lough Derg in the country’s midwest.
  • D. Port-Rhu
    Port-Rhu is the historic tidal port and marina area of Douarnenez in Brittany, France, known for its traditional boats and maritime heritage.
  • E. Fouesnant
    Fouesnant is a coastal commune in Brittany, northwestern France, known for its beaches, seaside tourism, and proximity to the Glénan archipelago.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdb0a948190aeee4ca3c01f801e completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac3ce008190856a917c2c75862a completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f220554819088c0aa5706f44856 completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60f9f40f48190b60be483d1922b22 completed May 2, 2026, 2:52 p.m.
Created at: April 8, 2026, 9:52 p.m.