Triple

T13958320
Position Surface form Disambiguated ID Type / Status
Subject College of Arts & Sciences E335724 entity
Predicate city P40 FINISHED
Object Salem unclear NED1 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: Salem | Statement: [College of Arts & Sciences, city, Salem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salem
Context triple: [College of Arts & Sciences, city, Salem]
  • A. Salem
    Salem is a mid-sized city in the Willamette Valley of the U.S. Pacific Northwest known for its government institutions and agricultural surroundings.
  • B. Salem
    Salem is a major city in the Indian state of Tamil Nadu, historically significant as an important administrative and commercial center under British rule.
  • C. Salem
    Salem was the original name of the small town now known as Marshall in Fauquier County, Virginia.
  • D. Salem
    Salem is a small city in Utah County, Utah, known for its scenic pond, suburban character, and location within the Provo–Orem metropolitan area.
  • E. Salem
    Salem is a common Arabic male given name meaning "safe" or "peaceful," widely used across the Arab world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7a34f08190aa0d88b66154f268 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb64df57c8190bc402c5ec268eaac completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:17 p.m.