Triple

T8477229
Position Surface form Disambiguated ID Type / Status
Subject St Helen’s Church, Abingdon E200425 entity
Predicate dedicatedTo P500 FINISHED
Object Saint Helen E377571 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: Saint Helen | Statement: [St Helen’s Church, Abingdon, dedicatedTo, Saint Helen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Helen
Context triple: [St Helen’s Church, Abingdon, dedicatedTo, Saint Helen]
  • A. Saint Helen chosen
    Saint Helen, also known as Saint Helena of Constantinople, was a 4th-century Roman empress and Christian saint traditionally credited with finding the True Cross during a pilgrimage to the Holy Land.
  • B. Île Sainte-Hélène
    Île Sainte-Hélène is an island in the Saint Lawrence River in Montreal, Canada, best known as a major site of Expo 67 and now home to parks, museums, and cultural attractions.
  • C. St. Helena
    St. Helena is a small, historic city in California’s Napa Valley known for its wineries, vineyards, and upscale culinary and tourism scene.
  • D. Isla Monserrat
    Isla Monserrat is a small, arid island in the Gulf of California known for its rugged desert landscape, surrounding rich marine life, and relative isolation.
  • E. Monserrat
    Monserrat is a historic neighborhood in central Buenos Aires, Argentina, known for its colonial architecture, political landmarks, and role as one of the city’s oldest districts.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51ffab881908448aff899511f2c completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a196ad48190b3887a2a0c43f87f completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:12 p.m.