Triple

T5190288
Position Surface form Disambiguated ID Type / Status
Subject Selsey E117135 entity
Predicate postTown P2711 FINISHED
Object CHICHESTER
Chichester is a historic cathedral city in West Sussex, England, known for its Roman origins and well-preserved medieval architecture.
E507306 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: CHICHESTER | Statement: [Selsey, postTown, CHICHESTER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHICHESTER
Context triple: [Selsey, postTown, CHICHESTER]
  • A. Worthing
    Worthing is a large seaside town and resort on the south coast of England in West Sussex.
  • B. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • C. Fareham
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • D. Hove
    Hove is a coastal town in East Sussex, England, forming part of the city of Brighton and Hove on the south coast.
  • E. Bognor Regis
    Bognor Regis is a seaside town and popular holiday resort on the south coast of England, known for its beaches and traditional British coastal attractions.
  • 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: CHICHESTER
Triple: [Selsey, postTown, CHICHESTER]
Generated description
Chichester is a historic cathedral city in West Sussex, England, known for its Roman origins and well-preserved medieval architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CHICHESTER
Target entity description: Chichester is a historic cathedral city in West Sussex, England, known for its Roman origins and well-preserved medieval architecture.
  • A. Worthing
    Worthing is a large seaside town and resort on the south coast of England in West Sussex.
  • B. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • C. Fareham
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • D. Hove
    Hove is a coastal town in East Sussex, England, forming part of the city of Brighton and Hove on the south coast.
  • E. Bognor Regis
    Bognor Regis is a seaside town and popular holiday resort on the south coast of England, known for its beaches and traditional British coastal attractions.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79ebbfd081909a19b903c227fc1f completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe58344881908386713f2cf5749b completed March 21, 2026, 8:23 p.m.
NEDg Description generation batch_69beff3029dc8190b4dc5e207a2bfa03 completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69befffc0e388190a02624d4f466a2a9 completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:46 p.m.