Triple

T5720487
Position Surface form Disambiguated ID Type / Status
Subject WrestleMania XXX E126131 entity
Predicate city P40 FINISHED
Object New Orleans E3902 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: New Orleans | Statement: [WrestleMania XXX, city, New Orleans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Orleans
Context triple: [WrestleMania XXX, city, New Orleans]
  • A. New Orleans chosen
    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.
  • B. Nola
    Nola is an ancient town in southern Italy, historically significant in Roman times and known as the place where Emperor Augustus died.
  • C. Baton Rouge, Louisiana
    Baton Rouge, Louisiana is the capital city of Louisiana, known for its role as a political, industrial, and cultural center along the Mississippi River.
  • D. Shreveport
    Shreveport is a major city in northwestern Louisiana known for its role as a regional commercial, cultural, and transportation hub.
  • E. LaPlace, Louisiana
    LaPlace, Louisiana is a census-designated place in St. John the Baptist Parish, known as a suburban community along the Mississippi River within the New Orleans metropolitan area.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e328e08190a67e845b296e34e9 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0918b088190b0fcd0ab02091eb2 completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:46 p.m.