Triple

T8039444
Position Surface form Disambiguated ID Type / Status
Subject Pitt E187399 entity
Predicate hasSatelliteCampus P116 FINISHED
Object Greensburg E108849 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: Greensburg | Statement: [Pitt, hasSatelliteCampus, Greensburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greensburg
Context triple: [Pitt, hasSatelliteCampus, Greensburg]
  • A. Greensburg, Pennsylvania chosen
    Greensburg, Pennsylvania is a small city in southwestern Pennsylvania known as a regional center for education, culture, and commerce within the Pittsburgh metropolitan area.
  • B. Wilkes-Barre
    Wilkes-Barre is a small city in northeastern Pennsylvania known for its location along the Susquehanna River and its historical ties to coal mining and industry.
  • C. Meadville
    Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
  • D. Beaver Falls
    Beaver Falls is a series of striking turquoise-blue waterfalls and pools along Havasu Creek in the Grand Canyon, renowned for their scenic beauty and popularity among hikers visiting Havasupai lands.
  • E. Beaver Falls
    Beaver Falls is a small industrial city in western Pennsylvania known historically for its manufacturing base and location along the Beaver River.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f1bb1d88190b3d2c83387c8ce43 completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd946a5e188190b2ef0a07a885ade7 completed April 1, 2026, 9:55 p.m.
Created at: March 30, 2026, 5:23 p.m.