Triple

T851321
Position Surface form Disambiguated ID Type / Status
Subject Interstate 5 E18390 entity
Predicate passesThrough P225 FINISHED
Object Salem E114135 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: [Interstate 5, passesThrough, Salem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salem
Context triple: [Interstate 5, passesThrough, Salem]
  • A. Salem chosen
    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 is a long-established American brand of menthol cigarettes produced by R.J. Reynolds.
  • D. Salem, Massachusetts
    Salem, Massachusetts is a historic coastal city in northeastern Massachusetts best known for the 1692 witch trials and its enduring maritime and colonial heritage.
  • E. Concord
    Concord is a suburban city in California’s East Bay region known as a residential and commercial hub within the greater San Francisco Bay Area.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac22de288190913714d41e5a8e12 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69adc977276881908405e2411eb14fa1 completed March 8, 2026, 7:09 p.m.
Created at: March 1, 2026, 7:38 p.m.