Triple

T35701355
Position Surface form Disambiguated ID Type / Status
Subject Honokowai E1031593 entity
Predicate partOfRegion P285 FINISHED
Object West Maui region
The West Maui region is a popular area on the Hawaiian island of Maui known for its resort communities, beaches, and coastal towns such as Lahaina, Kaanapali, and Honokowai.
E2153891 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: West Maui region | Statement: [Honokowai, partOfRegion, West Maui region]
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: West Maui region
Triple: [Honokowai, partOfRegion, West Maui region]
Generated description
The West Maui region is a popular area on the Hawaiian island of Maui known for its resort communities, beaches, and coastal towns such as Lahaina, Kaanapali, and Honokowai.

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_69f76e0d393c8190b6303c64408736db completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a0c644f88190bb408210f5aa2a03 completed May 3, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885e53b788190bdeb2c0c1df958b7 completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a38866a9e948190a5aa2f80ee5921c0 completed June 22, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_6a3886e8a5fc8190b77589a42dd8bb96 completed June 22, 2026, 12:50 a.m.
Created at: May 3, 2026, 4:05 p.m.