Triple

T3136357
Position Surface form Disambiguated ID Type / Status
Subject Jackson metropolitan area E65538 entity
Predicate contains P35 FINISHED
Object Byram, Mississippi E348932 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: Byram, Mississippi | Statement: [Jackson metropolitan area, contains, Byram, Mississippi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byram, Mississippi
Context triple: [Jackson metropolitan area, contains, Byram, Mississippi]
  • A. Byram, Mississippi chosen
    Byram, Mississippi is a small suburban city in central Mississippi that serves as part of the Jackson metropolitan area.
  • B. Puckett, Mississippi
    Puckett, Mississippi is a small rural village located in Rankin County in the central part of the state.
  • C. Brandon, Mississippi
    Brandon, Mississippi is a small city in central Mississippi that serves as a suburban community in the Jackson metropolitan area.
  • D. Raymond, Mississippi
    Raymond, Mississippi is a small historic city that serves as the county seat of Hinds County and is known for its Civil War heritage and rural Southern character.
  • E. Brookhaven, Mississippi
    Brookhaven, Mississippi is a small city in Lincoln County known as a regional hub in southwest Mississippi with historic downtown architecture and rail connections.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada564eacc8190a54d07b4eb31c196 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db52bcfc8190857a3ea5157d8416 completed March 14, 2026, 10:04 p.m.
Created at: March 8, 2026, 3:05 p.m.