Triple

T29494425
Position Surface form Disambiguated ID Type / Status
Subject Great Guana Cay E748177 entity
Predicate hasAttraction P105 FINISHED
Object Nippers Beach Bar and Grill
Nippers Beach Bar and Grill is a famous beachfront bar and restaurant on Great Guana Cay in the Bahamas, known for its lively party atmosphere, ocean views, and colorful setting.
E1869426 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: Nippers Beach Bar and Grill | Statement: [Great Guana Cay, hasAttraction, Nippers Beach Bar and Grill]
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: Nippers Beach Bar and Grill
Triple: [Great Guana Cay, hasAttraction, Nippers Beach Bar and Grill]
Generated description
Nippers Beach Bar and Grill is a famous beachfront bar and restaurant on Great Guana Cay in the Bahamas, known for its lively party atmosphere, ocean views, and colorful setting.

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_69f0bd448c6881908aa6b475cefd5ddc completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66c0cd4c08190b3e2f87522299a0d completed May 2, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f12ba7cc8190a88755ca103e27fe completed June 7, 2026, 10:31 p.m.
NEDg Description generation batch_6a25f5aca5e08190979b3eda92550523 completed June 7, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a25f981161481908aeb778528321059 completed June 7, 2026, 11:06 p.m.
Created at: April 28, 2026, 4:17 p.m.