Triple

T35575998
Position Surface form Disambiguated ID Type / Status
Subject Anahulu Stream E1028075 entity
Predicate isPartOf P10 FINISHED
Object Waialua Bay watershed
The Waialua Bay watershed is a coastal drainage basin on Oʻahu’s North Shore that collects freshwater from streams like Anahulu Stream before they flow into Waialua Bay.
E2145419 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: Waialua Bay watershed | Statement: [Anahulu Stream, isPartOf, Waialua Bay watershed]
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: Waialua Bay watershed
Triple: [Anahulu Stream, isPartOf, Waialua Bay watershed]
Generated description
The Waialua Bay watershed is a coastal drainage basin on Oʻahu’s North Shore that collects freshwater from streams like Anahulu Stream before they flow into Waialua Bay.

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_69f76e0386688190b931bacdc145938c completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79e5799408190acdade40306306f6 completed May 3, 2026, 7:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3853061b108190af75da380bb560c8 completed June 21, 2026, 9:09 p.m.
NEDg Description generation batch_6a3853b7ca0c8190af2d3b52e69f05ed completed June 21, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_6a38546765988190bba6f0bc046274df completed June 21, 2026, 9:15 p.m.
Created at: May 3, 2026, 4:04 p.m.