Triple

T21170177
Position Surface form Disambiguated ID Type / Status
Subject St Margarets railway station E521669 entity
Predicate locatedIn P40 FINISHED
Object St Margarets 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: St Margarets | Statement: [St Margarets railway station, locatedIn, St Margarets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Margarets
Context triple: [St Margarets railway station, locatedIn, St Margarets]
  • A. St Margarets chosen
    St Margarets is a suburban residential area in southwest London known for its village-like feel, period housing, and proximity to the River Thames and Richmond.
  • B. St Mary’s
    St Mary’s is the largest and most populous island of the Isles of Scilly, serving as the archipelago’s main administrative and transport hub.
  • C. St Mary’s
    St Mary’s is a historic area and namesake element associated with St Mary’s Place in the Scottish university town of St Andrews.
  • D. St Margaret
    St Margaret is a Christian saint venerated in various traditions, often associated with purity, martyrdom, and patronage of childbirth.
  • E. St. Margaret Church
    St. Margaret Church is a Christian parish church serving the local community of Rumford.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72712893081908e394ccc7e0cbb53 completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.