Triple

T9821529
Position Surface form Disambiguated ID Type / Status
Subject Franz Kline E238541 entity
Predicate notableWork P4 FINISHED
Object Mahoning E153217 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: Mahoning | Statement: [Franz Kline, notableWork, Mahoning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahoning
Context triple: [Franz Kline, notableWork, Mahoning]
  • A. Mahoning River
    The Mahoning River is a tributary of the Beaver River that flows through northeastern Ohio and western Pennsylvania, historically significant for its role in the region’s steel and industrial development.
  • B. Allegheny
    Allegheny was the original name of the Major League Baseball franchise now known as the Pittsburgh Pirates.
  • C. Wheeling Creek
    Wheeling Creek is a stream in northern West Virginia that flows through and lends its name to the city of Wheeling before joining the Ohio River.
  • D. Mahoning Valley chosen
    Mahoning Valley is a region in northeastern Ohio centered around the city of Youngstown, historically known for its steel industry and blue-collar communities.
  • E. Nemacolin
    Nemacolin was a prominent Delaware (Lenape) chief and guide in the 18th century, known for helping to blaze a key route through the Allegheny Mountains that later became part of the National Road.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3147ecc81908cfca84c05a367d9 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eacbc2348190bac1cc7f41a389b9 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:31 p.m.