Triple

T12016904
Position Surface form Disambiguated ID Type / Status
Subject Shreveport Little Theatre E286047 entity
Predicate city P40 FINISHED
Object Shreveport E80831 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: Shreveport | Statement: [Shreveport Little Theatre, city, Shreveport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shreveport
Context triple: [Shreveport Little Theatre, city, Shreveport]
  • A. Shreveport chosen
    Shreveport is a major city in northwestern Louisiana known for its role as a regional commercial, cultural, and transportation hub.
  • B. 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.
  • C. Opelousas, Louisiana
    Opelousas, Louisiana is a historic city in south-central Louisiana known as a center of Creole and Zydeco culture and music.
  • D. Houma
    The Houma are a Native American people historically based in what is now Louisiana, known for their distinct culture, language heritage, and ties to the Mississippi River delta region.
  • E. 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.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d9b17881908894be80d7c1b64e completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739644ed48190896d7b2b6c3b5f8f completed May 3, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:47 p.m.