Triple

T25993865
Position Surface form Disambiguated ID Type / Status
Subject Mendenhall Glacier Recreation Area E646431 entity
Predicate hasTrail P3625 FINISHED
Object Steep Creek Trail
Steep Creek Trail is a popular nature trail in Alaska known for its accessible boardwalks, views of Mendenhall Glacier, and opportunities to see spawning salmon and black bears.
E1723499 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: Steep Creek Trail | Statement: [Mendenhall Glacier Recreation Area, hasTrail, Steep Creek Trail]
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: Steep Creek Trail
Triple: [Mendenhall Glacier Recreation Area, hasTrail, Steep Creek Trail]
Generated description
Steep Creek Trail is a popular nature trail in Alaska known for its accessible boardwalks, views of Mendenhall Glacier, and opportunities to see spawning salmon and black bears.

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_69e77e88cb8481908da31d4a00661f55 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6054a859481908aa7275ec4859e4b completed May 2, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae95964881908c5ab6f3a95f528a completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11af355d588190a5f72f8c7d6e8db8 completed May 23, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a11afa0df548190a099d227f233ee94 completed May 23, 2026, 1:46 p.m.
Created at: April 22, 2026, 8:57 a.m.