Triple

T4825101
Position Surface form Disambiguated ID Type / Status
Subject Concepción E107803 entity
Predicate nearbySettlement P350 FINISHED
Object Altagracia E93721 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: Altagracia | Statement: [Concepción, nearbySettlement, Altagracia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altagracia
Context triple: [Concepción, nearbySettlement, Altagracia]
  • A. Altagracia chosen
    Altagracia is a town on Ometepe Island in southwestern Nicaragua, known for its proximity to Lake Nicaragua and its rich indigenous and colonial heritage.
  • B. Haydée
    Haydée is a fictional Greek princess and former slave who becomes a devoted ally and love interest of Edmond Dantès in Alexandre Dumas' novel "The Count of Monte Cristo."
  • C. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • D. Amparo
    Amparo is a municipality in the interior of Brazil known for its historical architecture and role in the coffee-producing region of the state of São Paulo.
  • E. Consuelo
    Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cadb2bc81909455149e46eb593a completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dca2b708190ac05c91ba04d9ff6 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.