Triple

T23432140
Position Surface form Disambiguated ID Type / Status
Subject Valdez–Cordova Census Area E563360 entity
Predicate contains P35 FINISHED
Object Sourdough, Alaska
Sourdough, Alaska is a small unincorporated community in south-central Alaska known historically as a stop along the Richardson Highway and for its proximity to outdoor recreation areas.
E1744486 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: Sourdough, Alaska | Statement: [Valdez–Cordova Census Area, contains, Sourdough, Alaska]
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: Sourdough, Alaska
Triple: [Valdez–Cordova Census Area, contains, Sourdough, Alaska]
Generated description
Sourdough, Alaska is a small unincorporated community in south-central Alaska known historically as a stop along the Richardson Highway and for its proximity to outdoor recreation areas.

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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d920548190904f80c7c40cba06 completed April 29, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1212f8f90481909f9d4719b4e401a6 completed May 23, 2026, 8:50 p.m.
NEDg Description generation batch_6a1215a9c1f08190ae3b2ec8944d50ad completed May 23, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_6a1216420ef08190b33368157a089c98 completed May 23, 2026, 9:04 p.m.
Created at: April 17, 2026, 5:49 p.m.