Triple

T13448099
Position Surface form Disambiguated ID Type / Status
Subject Romsey E320537 entity
Predicate hasPostTown P2711 FINISHED
Object ROMSEY
ROMSEY is a historic market town in Hampshire, England, known for its medieval Romsey Abbey and picturesque setting on the River Test.
 E1041115 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: ROMSEY | Statement: [Romsey, hasPostTown, ROMSEY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ROMSEY
Context triple: [Romsey, hasPostTown, ROMSEY]
  • A. New Romney
    New Romney is a historic small town in Kent, England, that was once one of the principal Cinque Ports and an important medieval maritime and trading center.
  • B. Dover
    Dover is the capital city of the U.S. state of Delaware, known for its historic district, government institutions, and proximity to Delaware Bay.
  • C. Dover
    Dover is one of the oldest permanent European settlements in what is now the U.S. state of New Hampshire, historically significant as an early colonial town and port.
  • D. Dover
    Dover is a residential and educational neighborhood in western Singapore, known for its proximity to universities and polytechnics.
  • E. Dover
    Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
  • 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: ROMSEY
Triple: [Romsey, hasPostTown, ROMSEY]
Generated description
ROMSEY is a historic market town in Hampshire, England, known for its medieval Romsey Abbey and picturesque setting on the River Test.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ROMSEY
Target entity description: ROMSEY is a historic market town in Hampshire, England, known for its medieval Romsey Abbey and picturesque setting on the River Test.
  • A. New Romney
    New Romney is a historic small town in Kent, England, that was once one of the principal Cinque Ports and an important medieval maritime and trading center.
  • B. Dover
    Dover is one of the oldest permanent European settlements in what is now the U.S. state of New Hampshire, historically significant as an early colonial town and port.
  • C. Dover
    Dover is the capital city of the U.S. state of Delaware, known for its historic district, government institutions, and proximity to Delaware Bay.
  • D. Dover
    Dover is a residential and educational neighborhood in western Singapore, known for its proximity to universities and polytechnics.
  • E. Dover
    Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73998221c8190a2d8982a3da28ec9 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73a598c6c81908420b00b665e3b08 completed May 3, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69f73e0e598c8190b030a45e658a5055 completed May 3, 2026, 12:22 p.m.
Created at: April 9, 2026, 9:41 p.m.