Triple

T7446324
Position Surface form Disambiguated ID Type / Status
Subject Marshall, Virginia E171889 entity
Predicate formerName P65 FINISHED
Object Salem
Salem was the original name of the small town now known as Marshall in Fauquier County, Virginia.
E664982 NE FINISHED

How this triple was built (4 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: [Marshall, Virginia, formerName, Salem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salem
Context triple: [Marshall, Virginia, formerName, 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 is the fictional Midwestern town that serves as the primary setting for the long-running American soap opera "Days of Our Lives."
  • D. Salem
    Salem is a historic coastal city in Massachusetts best known for the 1692 witch trials and its well-preserved colonial architecture.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Salem
Triple: [Marshall, Virginia, formerName, Salem]
Generated description
Salem was the original name of the small town now known as Marshall in Fauquier County, Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Salem
Target entity description: Salem was the original name of the small town now known as Marshall in Fauquier County, Virginia.
  • A. Salem
    Salem is a historic coastal city in Massachusetts best known for the 1692 witch trials and its well-preserved colonial architecture.
  • 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 mid-sized city in the Willamette Valley of the U.S. Pacific Northwest known for its government institutions and agricultural surroundings.
  • D. Salem
    Salem is the fictional Midwestern town that serves as the primary setting for the long-running American soap opera "Days of Our Lives."
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f371be2081908feaeb9392cb65fe completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827a6668c8190a88c6406684e7689 completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c828ca24bc81909357b9f40a9004af completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c8297c1de4819099acfac611a519e5 completed March 28, 2026, 7:18 p.m.
Created at: March 27, 2026, 3:14 p.m.