Triple

T12727053
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Region of Salvador E304133 entity
Predicate hasMunicipality P847 FINISHED
Object Conde
Conde is a coastal municipality in the Brazilian state of Bahia, known for its beaches and location within the Metropolitan Region of Salvador.
E1000128 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: Conde | Statement: [Metropolitan Region of Salvador, hasMunicipality, Conde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conde
Context triple: [Metropolitan Region of Salvador, hasMunicipality, Conde]
  • A. Conde
    Conde is a noble title historically used in various European countries, equivalent in rank to a count.
  • B. Costanzo
    Costanzo is a surname of Italian origin borne by various notable individuals in fields such as entertainment, sports, and academia.
  • C. Ercoli
    Ercoli was a pseudonym used by Italian communist leader Palmiro Togliatti, a key figure in 20th-century European leftist politics.
  • D. Lo Duca
    Lo Duca is an Italian-origin surname most notably associated with former Major League Baseball catcher Paul Lo Duca.
  • E. Marquis
    Marquis is a hereditary noble rank in various European and Asian aristocratic systems, traditionally positioned between a count/earl and a duke and often associated with governance of border territories.
  • 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: Conde
Triple: [Metropolitan Region of Salvador, hasMunicipality, Conde]
Generated description
Conde is a coastal municipality in the Brazilian state of Bahia, known for its beaches and location within the Metropolitan Region of Salvador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Conde
Target entity description: Conde is a coastal municipality in the Brazilian state of Bahia, known for its beaches and location within the Metropolitan Region of Salvador.
  • A. Conde
    Conde is a noble title historically used in various European countries, equivalent in rank to a count.
  • B. Costanzo
    Costanzo is a surname of Italian origin borne by various notable individuals in fields such as entertainment, sports, and academia.
  • C. Ercoli
    Ercoli was a pseudonym used by Italian communist leader Palmiro Togliatti, a key figure in 20th-century European leftist politics.
  • D. Lo Duca
    Lo Duca is an Italian-origin surname most notably associated with former Major League Baseball catcher Paul Lo Duca.
  • E. Marquis
    Marquis is a hereditary noble rank in various European and Asian aristocratic systems, traditionally positioned between a count/earl and a duke and often associated with governance of border territories.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96415ebe48190ae935bc3a9b00f65 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c884bd08190bf0022e8303a4987 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67de172088190b055ace0fdcfd1fd completed May 2, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f67ec570a881909c98471b701999f0 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:25 p.m.