Triple

T25591017
Position Surface form Disambiguated ID Type / Status
Subject Mendenhall Valley E641521 entity
Predicate accessedBy P1985 FINISHED
Object Glacier Highway
Glacier Highway is a major roadway in Juneau, Alaska, that connects the city’s downtown area to outlying neighborhoods and natural attractions such as the Mendenhall Glacier.
E1710452 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: Glacier Highway | Statement: [Mendenhall Valley, accessedBy, Glacier Highway]
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: Glacier Highway
Triple: [Mendenhall Valley, accessedBy, Glacier Highway]
Generated description
Glacier Highway is a major roadway in Juneau, Alaska, that connects the city’s downtown area to outlying neighborhoods and natural attractions such as the Mendenhall Glacier.

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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f96cc064819088071450af183d1c completed May 2, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11272400548190a9ee6eeca17d2016 completed May 23, 2026, 4:03 a.m.
NEDg Description generation batch_6a1133f275508190ae6fe6b9c4596c6d completed May 23, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a113489dcec8190863da5dad0d717d9 completed May 23, 2026, 5 a.m.
Created at: April 21, 2026, 4:24 p.m.