Triple

T16470030
Position Surface form Disambiguated ID Type / Status
Subject Lancaster and Carlisle Railway E400035 entity
Predicate passesThrough P225 FINISHED
Object Shap E635237 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: Shap | Statement: [Lancaster and Carlisle Railway, passesThrough, Shap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shap
Context triple: [Lancaster and Carlisle Railway, passesThrough, Shap]
  • A. Shap chosen
    Shap is a small village in Cumbria, England, known for its historic abbey ruins and proximity to the Lake District.
  • B. Shapshu
    Shapshu is a Canaanite sun goddess associated with light, justice, and the guidance of gods and souls in ancient Near Eastern mythology.
  • C. Shanly
    Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • D. Şaphane
    Şaphane is a small town and district in western Turkey known for its location within Kütahya Province and its surrounding mountainous landscape.
  • E. Shand
    Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcfed6c8190b8dbe4b65b0ab817 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5af4308190bd023624de35027f completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.