Triple

T588393
Position Surface form Disambiguated ID Type / Status
Subject Tiago E17210 entity
Predicate hasSpellingVariant P457 FINISHED
Object Tiagu
Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
 E82888 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: Tiagu | Statement: [Tiago, hasSpellingVariant, Tiagu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tiagu
Context triple: [Tiago, hasSpellingVariant, Tiagu]
  • A. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • B. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • C. Naga
    Naga is a city in the Bicol Region of the Philippines known as a major religious, cultural, and commercial center, particularly famed for the annual Peñafrancia Festival.
  • D. Olosega
    Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
  • E. Gama
    Gama is a surname most famously associated with the Portuguese explorer Vasco da Gama, who pioneered the sea route from Europe to India.
  • 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: Tiagu
Triple: [Tiago, hasSpellingVariant, Tiagu]
Generated description
Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tiagu
Target entity description: Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
  • A. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • B. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • C. Naga
    Naga is a city in the Bicol Region of the Philippines known as a major religious, cultural, and commercial center, particularly famed for the annual Peñafrancia Festival.
  • D. Olosega
    Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
  • E. Gama
    Gama is a surname most famously associated with the Portuguese explorer Vasco da Gama, who pioneered the sea route from Europe to India.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9d1e68819096a9b5e7b2e83d6e completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c389eb708190911de8a28e55ab7f completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c931f4108190a5a4f1ed6241330d completed March 2, 2026, 5:30 p.m.
NED2 Entity disambiguation (via description) batch_69a5ce4e6a74819082987a4c63023e48 completed March 2, 2026, 5:52 p.m.
Created at: March 1, 2026, 7:33 p.m.