Triple

T2662068
Position Surface form Disambiguated ID Type / Status
Subject River City E54746 entity
Predicate alsoKnownAs P39 FINISHED
Object The River City E184012 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 River City | Statement: [River City, alsoKnownAs, The River City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The River City
Context triple: [River City, alsoKnownAs, The River City]
  • A. River City chosen
    River City is a common nickname and place name in the United States, often referring to cities situated along major rivers and popularized in American culture and media.
  • B. River City
    River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
  • C. River City
    River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
  • D. River City
    River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
  • E. The City of Homes
    The City of Homes is a nickname for Springfield, Massachusetts, highlighting its historic residential architecture and notable stock of well-preserved houses.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd969eff08190a206ad6424ba34d6 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d9d7148190841bac9589a3815b completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.