Triple

T31689780
Position Surface form Disambiguated ID Type / Status
Subject Chattanooga Moccasins E808758 entity
Predicate shortName P43 FINISHED
Object Moccasins
Moccasins are a type of soft, flexible shoe traditionally made of leather, often associated with Indigenous peoples of North America and now commonly worn as casual or indoor footwear.
E1974382 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: Moccasins | Statement: [Chattanooga Moccasins, shortName, Moccasins]
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: Moccasins
Triple: [Chattanooga Moccasins, shortName, Moccasins]
Generated description
Moccasins are a type of soft, flexible shoe traditionally made of leather, often associated with Indigenous peoples of North America and now commonly worn as casual or indoor footwear.

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_69f348ddcbc48190950cabcc25ff29b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aa80bb508190b7143fb15df77ba6 completed May 3, 2026, 1:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b84c1aed481908c487200c8350a1b completed June 12, 2026, 4:02 a.m.
NEDg Description generation batch_6a2b869c3a388190a07cf99a5d142e7a completed June 12, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_6a2b871f23dc8190aaabc38ea7f7ee27 completed June 12, 2026, 4:12 a.m.
Created at: April 30, 2026, 11:08 p.m.