Triple

T36528247
Position Surface form Disambiguated ID Type / Status
Subject Iditarod Trail E900364 entity
Predicate passesThrough P225 FINISHED
Object Shageluk
Shageluk is a small, remote village in western Alaska, located along the Innoko River and known for its Athabascan Native community and role as a checkpoint on the Iditarod Trail Sled Dog Race.
E2195497 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: Shageluk | Statement: [Iditarod Trail, passesThrough, Shageluk]
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: Shageluk
Triple: [Iditarod Trail, passesThrough, Shageluk]
Generated description
Shageluk is a small, remote village in western Alaska, located along the Innoko River and known for its Athabascan Native community and role as a checkpoint on the Iditarod Trail Sled Dog Race.

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_69f76e5eedb88190a393b8c623f71dd7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c219febc81909d16454f7efbbc04 completed May 3, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a380b18808190ba424829c8d55809 completed June 23, 2026, 7:38 a.m.
NEDg Description generation batch_6a3a3bcb2c64819084d7e0459ccb2fde completed June 23, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_6a3a3c8a5fc88190ada55c9230178561 completed June 23, 2026, 7:58 a.m.
Created at: May 3, 2026, 4:11 p.m.