Triple

T4792604
Position Surface form Disambiguated ID Type / Status
Subject Cordillera Central E106638 entity
Predicate nearbyCity P350 FINISHED
Object Constanza
Constanza is a mountainous town in the Dominican Republic known for its cool climate, fertile valleys, and agricultural production.
 E470707 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: Constanza | Statement: [Cordillera Central, nearbyCity, Constanza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Constanza
Context triple: [Cordillera Central, nearbyCity, Constanza]
  • A. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • D. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • 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. 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: Constanza
Triple: [Cordillera Central, nearbyCity, Constanza]
Generated description
Constanza is a mountainous town in the Dominican Republic known for its cool climate, fertile valleys, and agricultural production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Constanza
Target entity description: Constanza is a mountainous town in the Dominican Republic known for its cool climate, fertile valleys, and agricultural production.
  • A. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • D. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • 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. 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd66059bfc8190885d26d05dd38df1 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43ecf0308190941809fd13efa393 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be45b95ab48190b5d8b84c56b1a0ac completed March 21, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69be46e400cc8190aaa7fc42713f30c6 completed March 21, 2026, 7:21 a.m.
Created at: March 20, 2026, 1:22 p.m.