Triple

T11232912
Position Surface form Disambiguated ID Type / Status
Subject Aberdeen E265870 entity
Predicate hasNickname P39 FINISHED
Object The Granite City E265869 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 Granite City | Statement: [Aberdeen, hasNickname, The Granite City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Granite City
Context triple: [Aberdeen, hasNickname, The Granite City]
  • A. Granite City chosen
    Granite City is a common nickname for Aberdeen, a Scottish port city famed for its extensive use of locally quarried grey granite in its architecture.
  • B. Granite City, Illinois
    Granite City, Illinois is an industrial city in the Greater St. Louis metropolitan area known historically for its steel manufacturing and blue-collar heritage.
  • C. Peoria
    Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
  • D. Springfield
    Springfield is a small city in southeastern Georgia that serves as the administrative and cultural hub of Effingham County.
  • E. Springfield
    Springfield is a small town in Otsego County, New York, known for its rural character and proximity to the northern end of Otsego Lake.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9026e1c81909456ac946bbba972 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5256cb7c8819084d8010c2f3e9d94 completed April 19, 2026, 6:56 p.m.
Created at: April 8, 2026, 9:30 p.m.