Triple

T15496136
Position Surface form Disambiguated ID Type / Status
Subject LSU Tigers baseball E378822 entity
Predicate city P40 FINISHED
Object Baton Rouge E78636 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: Baton Rouge | Statement: [LSU Tigers baseball, city, Baton Rouge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baton Rouge
Context triple: [LSU Tigers baseball, city, Baton Rouge]
  • A. Baton Rouge, Louisiana chosen
    Baton Rouge, Louisiana is the capital city of Louisiana, known for its role as a political, industrial, and cultural center along the Mississippi River.
  • B. New Orleans
    New Orleans is a historic port city in southeastern Louisiana known for its vibrant jazz music, Creole cuisine, and distinctive French and Spanish-influenced architecture.
  • C. Shreveport
    Shreveport is a major city in northwestern Louisiana known for its role as a regional commercial, cultural, and transportation hub.
  • D. Bossier City
    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.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 3:52 a.m.