Triple

T8336803
Position Surface form Disambiguated ID Type / Status
Subject Prince Francis of Teck E195807 entity
Predicate title P38 FINISHED
Object Prince of Teck E651909 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: Prince of Teck | Statement: [Prince Francis of Teck, title, Prince of Teck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince of Teck
Context triple: [Prince Francis of Teck, title, Prince of Teck]
  • A. Prince of Teck chosen
    Prince of Teck was a German-derived princely title associated with the Teck branch of the royal family that became closely linked to the British monarchy in the late 19th and early 20th centuries.
  • B. Prince of Wales
    The Prince of Wales is the traditional title given to the heir apparent to the English, and later British, throne.
  • C. Prince Albert
    Prince Albert is a mid-sized city in central Saskatchewan, Canada, serving as a key regional hub and gateway to the province’s northern communities and lake country.
  • D. Prince Albert
    Prince Albert is a historic small town in South Africa’s semi-arid Karoo region, known for its Cape Dutch architecture, olive and fruit farming, and proximity to the Swartberg Pass.
  • E. Prince Edward
    Prince Edward is the young heir to the English throne who switches places with a poor look-alike boy in Mark Twain’s classic tale of mistaken identity and social inequality.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd3fc80819097b326119107ad4d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95e17300819090e405c4c60b280d completed April 1, 2026, 10:02 p.m.
Created at: March 30, 2026, 5:57 p.m.