Triple

T3031104
Position Surface form Disambiguated ID Type / Status
Subject Test Valley district E82895 entity
Predicate hasTown P847 FINISHED
Object Romsey E320537 NE FINISHED

How this triple was built (2 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: [Test Valley district, hasTown, Romsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romsey
Context triple: [Test Valley district, hasTown, Romsey]
  • A. Romsey chosen
    Romsey is a historic market town in Hampshire, England, known for its medieval abbey and riverside setting.
  • B. Romsey Abbey
    Romsey Abbey is a historic former Benedictine nunnery and parish church in Hampshire, England, noted for its impressive Norman architecture and royal connections.
  • C. Amesbury
    Amesbury is a historic town in Wiltshire, England, best known for its proximity to the prehistoric monument of Stonehenge.
  • D. Bramber
    Bramber is a historic village in West Sussex, England, known for the ruins of Bramber Castle and its picturesque rural setting.
  • E. Heytesbury
    Heytesbury is a historic village and former parliamentary borough in Wiltshire, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aee2fec81908116939a8d773fc4 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eeec62208190912f35e209c7f9d9 completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.