Triple

T30641554
Position Surface form Disambiguated ID Type / Status
Subject Lilliwaup, Washington E779992 entity
Predicate locatedNear P294 FINISHED
Object Hamma Hamma, Washington
Hamma Hamma, Washington is a small unincorporated community in Mason County known for its proximity to the Olympic National Forest and the Hamma Hamma River, popular for outdoor recreation like hiking and fishing.
E1955030 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: Hamma Hamma, Washington | Statement: [Lilliwaup, Washington, locatedNear, Hamma Hamma, Washington]
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: Hamma Hamma, Washington
Triple: [Lilliwaup, Washington, locatedNear, Hamma Hamma, Washington]
Generated description
Hamma Hamma, Washington is a small unincorporated community in Mason County known for its proximity to the Olympic National Forest and the Hamma Hamma River, popular for outdoor recreation like hiking and fishing.

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_69f224a50ebc81909b961a94c7f66b12 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a557e308190a55aa6958b6d012e completed May 2, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a296bbe197c81908ed188395ff46513 completed June 10, 2026, 1:50 p.m.
NEDg Description generation batch_6a296ce1043081908856e0963753cac6 completed June 10, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a29c4522b5481909ce7b3f90458c69c completed June 10, 2026, 8:08 p.m.
Created at: April 29, 2026, 8:29 p.m.