Triple

T20001873
Position Surface form Disambiguated ID Type / Status
Subject Salem, Indiana E494351 entity
Predicate namedAfter P63 FINISHED
Object Salem, Massachusetts 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: Salem, Massachusetts | Statement: [Salem, Indiana, namedAfter, Salem, Massachusetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salem, Massachusetts
Context triple: [Salem, Indiana, namedAfter, Salem, Massachusetts]
  • A. Salem, Massachusetts chosen
    Salem, Massachusetts is a historic coastal city in northeastern Massachusetts best known for the 1692 witch trials and its enduring maritime and colonial heritage.
  • B. Salem
    Salem is a supernatural horror television series that reimagines the infamous Salem witch trials with a dark, fictionalized narrative.
  • C. Salem
    Salem is a common Arabic male given name meaning "safe" or "peaceful," widely used across the Arab world.
  • D. 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.
  • E. Salem
    Salem was the original name of the small town now known as Marshall in Fauquier County, Virginia.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a222908190b88e1d11cb1b7ee3 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:32 p.m.