Triple

T9370169
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Crescent E225508 entity
Predicate routeThrough P11333 FINISHED
Object Picayune, Mississippi E63282 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: Picayune, Mississippi | Statement: [Amtrak Crescent, routeThrough, Picayune, Mississippi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picayune, Mississippi
Context triple: [Amtrak Crescent, routeThrough, Picayune, Mississippi]
  • A. Picayune, Mississippi chosen
    Picayune, Mississippi is a small city in Pearl River County in southern Mississippi, known as a regional hub near the Louisiana border and within the New Orleans metropolitan area.
  • B. Puckett, Mississippi
    Puckett, Mississippi is a small rural village located in Rankin County in the central part of the state.
  • C. Waveland, Mississippi
    Waveland, Mississippi is a small Gulf Coast city in Hancock County known for its beachfront location and severe impact from Hurricane Katrina.
  • D. Porterville, Mississippi
    Porterville, Mississippi is a small unincorporated community located in rural Kemper County in eastern Mississippi.
  • E. Winona, Mississippi
    Winona, Mississippi is a small city in central Mississippi known as a local commercial and transportation hub along Interstate 55.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd508274d88190a64b79ab731ac6a1 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1078d08488190bb55e838c6b9ad25 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:43 p.m.