Triple

T11284925
Position Surface form Disambiguated ID Type / Status
Subject A859 road E267160 entity
Predicate passesThrough P225 FINISHED
Object Lewis E458284 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: Lewis | Statement: [A859 road, passesThrough, Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lewis
Context triple: [A859 road, passesThrough, Lewis]
  • A. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • B. Lewis
    Lewis is a masculine given name of English origin, commonly used in English-speaking countries.
  • C. Lewis chosen
    Lewis is the largest island of the Outer Hebrides in Scotland, known for its rugged coastline, Gaelic culture, and ancient archaeological sites such as the Callanish standing stones.
  • D. Lewis
    Lewis is a common English surname borne by numerous notable individuals across politics, civil rights, arts, and sports.
  • E. Lee
    Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48070ac8190b0e4d49f42ac3896 completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:31 p.m.