Triple

T1117203
Position Surface form Disambiguated ID Type / Status
Subject José Martí E11126 entity
Predicate residence P75 FINISHED
Object Caracas E54898 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: Caracas | Statement: [José Martí, residence, Caracas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caracas
Context triple: [José Martí, residence, Caracas]
  • A. Caracas chosen
    Caracas is the capital and largest city of Venezuela, known as a major political, cultural, and economic center in northern South America.
  • B. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • C. Santa Marta
    Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
  • D. Ciudad Bolívar
    Ciudad Bolívar is a historic city in southeastern Venezuela known for its colonial architecture and strategic location on the banks of the Orinoco River.
  • E. Cali
    Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bba425a8819099116e479552332e completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93b2283881908dde77abbbf864ae completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:43 p.m.