Triple

T7997256
Position Surface form Disambiguated ID Type / Status
Subject El Marqués E186157 entity
Predicate borders P224 FINISHED
Object Colón unclear NED1 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: Colón | Statement: [El Marqués, borders, Colón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colón
Context triple: [El Marqués, borders, Colón]
  • A. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • B. Colón
    Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
  • C. Colón
    Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
  • D. Cristóbal Colón de Toledo
    Cristóbal Colón de Toledo was a Spanish nobleman and descendant of Christopher Columbus, belonging to the prominent Colón family that held titles and estates in the New World.
  • E. Diego Columbus
    Diego Columbus was the eldest legitimate son of Christopher Columbus who became a Spanish colonial governor in the Caribbean, notably serving as Viceroy of the Indies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c98e39081908904d36a31bd6768 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe10d5eb081909f257390094de442 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:17 p.m.