Triple

T13436467
Position Surface form Disambiguated ID Type / Status
Subject Alnwick E320241 entity
Predicate postTown P2711 FINISHED
Object ALNWICK E320241 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: ALNWICK | Statement: [Alnwick, postTown, ALNWICK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALNWICK
Context triple: [Alnwick, postTown, ALNWICK]
  • A. ALNWICK chosen
    ALNWICK is a historic market town in Northumberland, England, best known for Alnwick Castle and its picturesque medieval character.
  • B. Cullercoats
    Cullercoats is a coastal village in North Tyneside, England, known for its sandy bay, historic fishing community, and picturesque harbour.
  • C. Eyemouth
    Eyemouth is a small coastal fishing town in the Scottish Borders, known for its historic harbour and dramatic North Sea coastline.
  • D. Lerwick
    Lerwick is the main town and administrative center of the Shetland Islands in Scotland, known for its historic harbor and role as a hub for North Sea fishing and oil industries.
  • E. Thurso
    Thurso is a small town in western Quebec, Canada, situated along the Ottawa River and known historically for its lumber and paper industries.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee42a8c8190a85716b4a6db335e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739902d148190ac14ac66f1f9512f completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.