Triple

T732045
Position Surface form Disambiguated ID Type / Status
Subject Alfred Russel Wallace E14851 entity
Predicate placeOfBirth P1 FINISHED
Object Monmouthshire E27493 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: Monmouthshire | Statement: [Alfred Russel Wallace, placeOfBirth, Monmouthshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monmouthshire
Context triple: [Alfred Russel Wallace, placeOfBirth, Monmouthshire]
  • A. Monmouthshire chosen
    Monmouthshire is a historic county and principal area in southeast Wales, known for its rural landscapes, market towns, and rich medieval heritage.
  • B. Montgomeryshire
    Montgomeryshire is a historic county and former parliamentary constituency in mid-Wales, known for its rural landscape and market towns such as Newtown and Welshpool.
  • C. Denbighshire
    Denbighshire is a historic and principal county in north-east Wales, known for its rural landscapes, market towns, and sections of the Clwydian Range and Dee Valley Area of Outstanding Natural Beauty.
  • D. Pembrokeshire
    Pembrokeshire is a coastal county in southwest Wales renowned for its rugged cliffs, sandy beaches, and the Pembrokeshire Coast National Park.
  • E. Powys
    Powys is a large, predominantly rural county in mid-Wales known for its mountainous landscapes, market towns, and extensive agricultural areas.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d5a6b48190a2c81bfc3c6faa25 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf4b62b08190bc8d5978595ce60b completed March 4, 2026, 6:20 a.m.
Created at: March 1, 2026, 7:37 p.m.