Triple

T15567731
Position Surface form Disambiguated ID Type / Status
Subject Ovar E374158 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Maceda
Maceda is a civil parish located within the municipality of Ovar in Portugal.
 E1165521 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: Maceda | Statement: [Ovar, hasAdministrativeDivision, Maceda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maceda
Context triple: [Ovar, hasAdministrativeDivision, Maceda]
  • A. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • B. Elizondo
    Elizondo is a Spanish-origin surname borne by various notable individuals, including American actor Héctor Elizondo.
  • C. Ampudia
    Ampudia is a historic village in Spain’s Castile and León region, noted for its well-preserved medieval architecture and prominent castle.
  • D. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • E. Machado
    Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
  • 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: Maceda
Triple: [Ovar, hasAdministrativeDivision, Maceda]
Generated description
Maceda is a civil parish located within the municipality of Ovar in Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maceda
Target entity description: Maceda is a civil parish located within the municipality of Ovar in Portugal.
  • A. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • B. Elizondo
    Elizondo is a Spanish-origin surname borne by various notable individuals, including American actor Héctor Elizondo.
  • C. Ampudia
    Ampudia is a historic village in Spain’s Castile and León region, noted for its well-preserved medieval architecture and prominent castle.
  • D. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • E. Machado
    Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4219a081909acca9f783ecd44b completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50d54960819089491ccb580784b8 completed May 9, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69ff5208e9a08190b4a6f4157cf3c237 completed May 9, 2026, 3:26 p.m.
Created at: April 10, 2026, 4:10 a.m.