Triple

T9815871
Position Surface form Disambiguated ID Type / Status
Subject Poole E238401 entity
Predicate hasLandmark P105 FINISHED
Object Poole Old Town E238401 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: Poole Old Town | Statement: [Poole, hasLandmark, Poole Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poole Old Town
Context triple: [Poole, hasLandmark, Poole Old Town]
  • A. Poole chosen
    Poole is a coastal town and seaport in Dorset, England, known for its large natural harbour and maritime activities.
  • B. RM Poole, Dorset
    RM Poole, Dorset is a Royal Marines military base in Poole, England, best known as the home of the elite 1 Assault Group Royal Marines and various amphibious and landing craft training units.
  • C. Harleston
    Harleston is a village and civil parish located in the county of Suffolk in eastern England.
  • D. Harleston
    Harleston is a small market town in Norfolk, England, known for its historic architecture and rural surroundings.
  • E. Plymouth city centre
    Plymouth city centre is the main commercial and cultural hub of Plymouth, England, featuring major shopping areas, historic landmarks, and key transport links.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f341648190bf8343e1124085cb completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc6c64dc8190979be34255dc22e5 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:30 p.m.