Triple

T9599455
Position Surface form Disambiguated ID Type / Status
Subject Scenic City E231811 entity
Predicate hasAlternativeName P39 FINISHED
Object The Scenic City E231811 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: The Scenic City | Statement: [Scenic City, hasAlternativeName, The Scenic City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Scenic City
Context triple: [Scenic City, hasAlternativeName, The Scenic City]
  • A. Scenic City chosen
    Scenic City is a popular nickname for Chattanooga, Tennessee, highlighting its picturesque natural surroundings and mountain views.
  • B. Spring City
    Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
  • C. Spring City
    Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
  • D. Queen City of the Trails
    Queen City of the Trails is a nickname for Independence, Missouri, reflecting its historic role as a major starting point for westward pioneer trails such as the Oregon, Santa Fe, and California Trails.
  • E. The Queen City
    The Queen City is a nickname for Plainfield, New Jersey, reflecting its historic prominence and once-elegant, prosperous character among regional cities.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a3819608190b3c280f5e1845f85 completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161a4a7ac81909060a929e5489512 completed April 4, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:07 p.m.