Triple

T9446442
Position Surface form Disambiguated ID Type / Status
Subject Encinitas E227775 entity
Predicate hasBeach P1922 FINISHED
Object Cardiff State Beach E652178 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: Cardiff State Beach | Statement: [Encinitas, hasBeach, Cardiff State Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cardiff State Beach
Context triple: [Encinitas, hasBeach, Cardiff State Beach]
  • A. Cardiff State Beach chosen
    Cardiff State Beach is a popular coastal park in San Diego County known for its sandy shoreline, surfing, and scenic ocean views.
  • B. Llanelli Beach
    Llanelli Beach is a coastal stretch in Carmarthenshire, Wales, known for its sandy shoreline, views over the Loughor Estuary, and access to the Millennium Coastal Path.
  • C. Swansea Beach
    Swansea Beach is a long sandy shoreline in Swansea, Wales, popular for seaside recreation and coastal views across Swansea Bay.
  • D. Rhyl Beach
    Rhyl Beach is a popular sandy seaside resort on the north coast of Wales, known for its promenade, family attractions, and views across the Irish Sea.
  • E. Colwyn Bay Beach
    Colwyn Bay Beach is a long, sandy seaside beach on the north coast of Wales, popular for family holidays, watersports, and its promenade with coastal views.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f35394c8190aa77528dabd6139c completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1106aeb708190bbbe1d05b7472194 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:51 p.m.