Triple

T9061656
Position Surface form Disambiguated ID Type / Status
Subject ORSenate E217137 entity
Predicate meetsInCity P2445 FINISHED
Object Salem E506983 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: [ORSenate, meetsInCity, Salem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salem
Context triple: [ORSenate, meetsInCity, Salem]
  • A. 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.
  • B. Salem chosen
    Salem is a historic coastal city in Massachusetts best known for the 1692 witch trials and its well-preserved colonial architecture.
  • C. Salem
    Salem is an ancient biblical city traditionally associated with Jerusalem and referenced in the Hebrew Scriptures as a place of divine presence and peace.
  • D. Salem
    Salem was the original name of the small town now known as Marshall in Fauquier County, Virginia.
  • 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.

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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ecbb1e88190acdbfccdd975fac1 completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01798a79081909885a8e61bf04dc3 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:11 p.m.