Triple

T1449508
Position Surface form Disambiguated ID Type / Status
Subject Cranleigh E31256 entity
Predicate hasPostTown P2711 FINISHED
Object CRANLEIGH E31256 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: CRANLEIGH | Statement: [Cranleigh, hasPostTown, CRANLEIGH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CRANLEIGH
Context triple: [Cranleigh, hasPostTown, CRANLEIGH]
  • A. Cranleigh chosen
    Cranleigh is a large village and civil parish in the county of Surrey in southeast England, known for its rural setting and local amenities.
  • B. Cranleigh Waters
    Cranleigh Waters is a small river in Surrey, England, that flows through the village of Cranleigh and joins the River Wey.
  • C. Clifton College
    Clifton College is a prestigious independent boarding and day school in Bristol, England, known for its strong academic tradition and notable alumni.
  • D. Langwith College
    Langwith College is one of the original residential colleges of the University of York, providing accommodation, social spaces, and a community hub for its students.
  • E. Shrewsbury College
    Shrewsbury College is a further education institution in Shrewsbury offering a range of vocational, technical, and academic courses for post-16 learners and adults.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55c408c8190917ed44d9070a2fb completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69addf2374ac8190ac2a2a753c056a3d completed March 8, 2026, 8:42 p.m.
Created at: March 1, 2026, 8 p.m.