Triple

T5828322
Position Surface form Disambiguated ID Type / Status
Subject Rydal E129283 entity
Predicate hasLandmark P105 FINISHED
Object Rydal Hall E129283 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: Rydal Hall | Statement: [Rydal, hasLandmark, Rydal Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rydal Hall
Context triple: [Rydal, hasLandmark, Rydal Hall]
  • A. Locksley Hall
    Locksley Hall is a dramatic monologue poem by Alfred, Lord Tennyson that reflects on lost love, youthful idealism, and disillusionment with Victorian society.
  • B. Frere Hall
    Frere Hall is a historic British colonial-era building and cultural landmark in Karachi, Pakistan, known for its Venetian-Gothic architecture and public gardens.
  • C. Lawrance Hall
    Lawrance Hall is an academic building located on Yale University's historic Old Campus.
  • D. Rydal chosen
    Rydal is a small village in England’s Lake District, known for its scenic lake and its association with the poet William Wordsworth.
  • E. Langdell Hall
    Langdell Hall is the main library and iconic central building of Harvard Law School, housing one of the largest academic law collections in the world.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03467dfe48190b51757b33681bc20 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a18c48588190b4848dff1c277079 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:53 p.m.