Triple

T22923436
Position Surface form Disambiguated ID Type / Status
Subject Mon Valley E569226 entity
Predicate contains P35 FINISHED
Object Monessen NE NERFINISHED

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: Monessen | Statement: [Mon Valley, contains, Monessen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monessen
Context triple: [Mon Valley, contains, Monessen]
  • A. Monessen chosen
    Monessen is a small industrial city in western Pennsylvania historically known for its steel production along the Monongahela River.
  • B. Mahoningtown
    Mahoningtown is a neighborhood and former independent community now incorporated into the city of New Castle in western Pennsylvania.
  • C. McKeesport
    McKeesport is a city in southwestern Pennsylvania located near the confluence of the Monongahela and Youghiogheny Rivers, historically known for its steel industry.
  • D. Millvale, Pennsylvania
    Millvale, Pennsylvania is a small borough in Allegheny County near Pittsburgh, known for its historic riverside setting, tight-knit community, and revitalizing arts and brewery scene.
  • E. Wilkinsburg
    Wilkinsburg is a borough in Allegheny County, Pennsylvania, known as an inner-ring suburb directly east of Pittsburgh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d7973c8190b09a5690fd1d3f28 completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:43 p.m.