Triple

T27330620
Position Surface form Disambiguated ID Type / Status
Subject Issaquah Alps E689787 entity
Predicate contains P35 FINISHED
Object Margaret’s Way Trail area
Margaret’s Way Trail area is a popular hiking destination on Cougar Mountain in Washington’s Issaquah Alps, known for its forested paths, moderate elevation gain, and scenic viewpoints.
 E1767417 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: Margaret’s Way Trail area | Statement: [Issaquah Alps, contains, Margaret’s Way Trail area]
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: Margaret’s Way Trail area
Triple: [Issaquah Alps, contains, Margaret’s Way Trail area]
Generated description
Margaret’s Way Trail area is a popular hiking destination on Cougar Mountain in Washington’s Issaquah Alps, known for its forested paths, moderate elevation gain, and scenic viewpoints.

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_69ef355d4cb08190ab032c0a2e7d3753 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62acb65fc8190848dbe87124811ae completed May 2, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129cbff49c81909578b0db8b97a44a completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129e8754448190bc4e39b12e496e7e completed May 24, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_6a129f15d7d88190b77b62c095dbd4d4 completed May 24, 2026, 6:47 a.m.
Created at: April 27, 2026, 11:38 a.m.