Triple

T13447590
Position Surface form Disambiguated ID Type / Status
Subject Thiago E320522 entity
Predicate derivedFrom P909 FINISHED
Object Santiago (through Tiago) E780631 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: Santiago (through Tiago) | Statement: [Thiago, derivedFrom, Santiago (through Tiago)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago (through Tiago)
Context triple: [Thiago, derivedFrom, Santiago (through Tiago)]
  • A. Santiago (St. James) chosen
    Santiago (St. James) is a Christian apostle and martyr venerated as the patron saint of Spain and the focus of the famous pilgrimage to Santiago de Compostela.
  • B. Tiago
    Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
  • C. Santiago de la Vega
    Santiago de la Vega was the original Spanish colonial settlement that later became known as Spanish Town, a historic former capital of Jamaica.
  • D. Teixeira
    Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
  • E. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73998221c8190a2d8982a3da28ec9 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.