Triple

T3919912
Position Surface form Disambiguated ID Type / Status
Subject Streets of Lancaster Grand Prix E88932 entity
Predicate city P40 FINISHED
Object Lancaster E24581 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: Lancaster | Statement: [Streets of Lancaster Grand Prix, city, Lancaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancaster
Context triple: [Streets of Lancaster Grand Prix, city, Lancaster]
  • A. Lancaster chosen
    Lancaster is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
  • B. Lancaster
    Lancaster is a city in northern Los Angeles County, California, known for its location in the Antelope Valley of the Mojave Desert and its aerospace and renewable energy industries.
  • C. Lancaster
    The Lancaster is a British four-engined World War II heavy bomber renowned for its major role in night bombing campaigns and famous missions such as the "Dambusters" raid.
  • D. Lancaster
    Lancaster was the original settlement that later developed into the city of Lincoln, the capital of Nebraska.
  • E. Lancaster
    Lancaster is a historic city in south-central Pennsylvania known for its rich colonial heritage and proximity to Amish country.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed5af92481908aa55bd9286a090c completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5286830d08190bd6e583360136342 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:22 p.m.