Triple

T24751874
Position Surface form Disambiguated ID Type / Status
Subject Santo Domingo Este E619163 entity
Predicate hasCoastalLandmarks P160067 FINISHED
Object Las Américas coastal area
Las Américas coastal area is a seaside zone near Santo Domingo known for its beaches, tourism infrastructure, and proximity to Las Américas International Airport.
 E1652642 NE FINISHED

How this triple was built (3 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: Las Américas coastal area | Statement: [Santo Domingo Este, hasCoastalLandmarks, Las Américas coastal area]
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: Las Américas coastal area
Triple: [Santo Domingo Este, hasCoastalLandmarks, Las Américas coastal area]
Generated description
Las Américas coastal area is a seaside zone near Santo Domingo known for its beaches, tourism infrastructure, and proximity to Las Américas International Airport.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCoastalLandmarks
Context triple: [Santo Domingo Este, hasCoastalLandmarks, Las Américas coastal area]
  • A. hasCoastalLandmarks chosen
    Indicates that an entity possesses or is associated with notable geographic or cultural features located along a coast.
  • B. hasFamousCoastalRegion
    Indicates that an entity possesses or is associated with a well-known coastal area or shoreline region.
  • C. isCoastalLandmarkOf
    Indicates that a landmark is located on or very near the coast of a specified geographic area or body of water.
  • D. hasCoastalCharacteristic
    Indicates that an entity possesses a feature, quality, or condition specifically related to coastal or shoreline environments.
  • E. hasCoastline
    Indicates that a geographic entity is bordered by and directly touches a sea or ocean along part of its boundary.
  • F. None of above.

Provenance (6 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_69e2fabb349881908a13a212a0221a63 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f606c79ad081908369605f72e65ca6 completed May 2, 2026, 2:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a101c0708cc81908ad399ccb3165f58 completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a10278027908190a4550fe4d788f6f8 completed May 22, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a10282c01b481908a7340bef6e2a727 completed May 22, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69f602ce79ec8190b8336c2b9de18ac7 completed May 2, 2026, 1:57 p.m.
Created at: April 18, 2026, 4:25 a.m.