Triple

T27805783
Position Surface form Disambiguated ID Type / Status
Subject Hawaii state harbor system E702371 entity
Predicate hasPart P35 FINISHED
Object Kikiaola Small Boat Harbor
Kikiaola Small Boat Harbor is a small public marina on the island of Kauai in Hawaii that provides ocean access and moorage for recreational and small commercial vessels.
E1812763 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: Kikiaola Small Boat Harbor | Statement: [Hawaii state harbor system, hasPart, Kikiaola Small Boat Harbor]
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: Kikiaola Small Boat Harbor
Triple: [Hawaii state harbor system, hasPart, Kikiaola Small Boat Harbor]
Generated description
Kikiaola Small Boat Harbor is a small public marina on the island of Kauai in Hawaii that provides ocean access and moorage for recreational and small commercial vessels.

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_69ef8408e0588190977cffa32dc33a29 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6383976948190a9c6b55c878d3575 completed May 2, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a162789c09c8190bf8922b98801cd2f completed May 26, 2026, 11:06 p.m.
NEDg Description generation batch_6a162820ebf88190b9a82a1e75934a8a completed May 26, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_6a1628980cf481909f94f55aa0367018 completed May 26, 2026, 11:11 p.m.
Created at: April 27, 2026, 5:38 p.m.