Triple

T2077786
Position Surface form Disambiguated ID Type / Status
Subject Grito de Baire E44968 entity
Predicate location P40 FINISHED
Object Baire
Baire is a town in eastern Cuba historically notable as the site where the Cuban War of Independence was ignited by the Grito de Baire uprising in 1895.
 E231780 NE FINISHED

How this triple was built (4 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: Baire | Statement: [Grito de Baire, location, Baire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baire
Context triple: [Grito de Baire, location, Baire]
  • A. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • B. Larche
    Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
  • C. Bernardin
    Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Oberkampf
    Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Baire
Triple: [Grito de Baire, location, Baire]
Generated description
Baire is a town in eastern Cuba historically notable as the site where the Cuban War of Independence was ignited by the Grito de Baire uprising in 1895.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baire
Target entity description: Baire is a town in eastern Cuba historically notable as the site where the Cuban War of Independence was ignited by the Grito de Baire uprising in 1895.
  • A. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • B. Larche
    Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
  • C. Bernardin
    Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Oberkampf
    Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
  • F. None of above. chosen

Provenance (5 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba31eef8819081cf7f5334b59fe1 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae27379d6c819088e01920aae0981a completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae28daeae88190bdb07375ab246981 completed March 9, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_69ae294b3d0081909ceabda14c6bcf5e completed March 9, 2026, 1:58 a.m.
Created at: March 4, 2026, 7:41 p.m.