Triple

T20085030
Position Surface form Disambiguated ID Type / Status
Subject Holy Trinity Brompton Church E500102 entity
Predicate hasProgram P178 FINISHED
Object Alpha course NE NERFINISHED

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: Alpha course | Statement: [Holy Trinity Brompton Church, hasProgram, Alpha course]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alpha course
Context triple: [Holy Trinity Brompton Church, hasProgram, Alpha course]
  • A. Alpha course chosen
    The Alpha course is a widely used introductory program to the Christian faith, typically run in churches and small groups, that explores core beliefs through talks, discussions, and shared meals.
  • B. Kurs-A
    Kurs-A is an early version of the Russian Kurs radio-based automatic rendezvous and docking system used on spacecraft to dock with space stations.
  • C. Wee Course
    Wee Course is a shorter, typically nine-hole layout at Blairgowrie Golf Club in Scotland, designed to offer a more accessible and relaxed golfing experience.
  • D. July Course
    July Course is a prominent British horse racing venue located at Newmarket, renowned for hosting major flat racing events during the summer season.
  • E. Kurs-NA
    Kurs-NA is a modernized, digital version of the Russian Kurs spacecraft automatic docking system used to guide and dock visiting vehicles to space stations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655ae9ec8190bde2f17452639de8 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.