Triple

T20883744
Position Surface form Disambiguated ID Type / Status
Subject U.S. Highways in Louisiana E514216 entity
Predicate connects P390 FINISHED
Object Bossier City E81678 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: Bossier City | Statement: [U.S. Highways in Louisiana, connects, Bossier City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bossier City
Context triple: [U.S. Highways in Louisiana, connects, Bossier City]
  • A. Bossier City chosen
    Bossier City is a mid-sized city in northwestern Louisiana, located across the Red River from Shreveport and known as part of a regional economic and casino-gaming hub.
  • B. Shreveport
    Shreveport is a major city in northwestern Louisiana known for its role as a regional commercial, cultural, and transportation hub.
  • C. Morgan City
    Morgan City is a coastal community in south-central Louisiana known for its seafood industry, oil and gas activities, and location along the Atchafalaya River.
  • D. Bogalusa
    Bogalusa is a small city in southeastern Louisiana known historically as a sawmill and paper mill town near the Mississippi border.
  • E. Opelousas, Louisiana
    Opelousas, Louisiana is a historic city in south-central Louisiana known as a center of Creole and Zydeco culture and music.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67bd32c819097301e330e358c49 completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ebc2e508190b17c3237830c06e8 completed May 17, 2026, 10:55 a.m.
Created at: April 16, 2026, 12:46 p.m.