Triple

T24078155
Position Surface form Disambiguated ID Type / Status
Subject Uncle Tom’s Cabin Historic Site E596433 entity
Predicate associatedWith P37 FINISHED
Object Dawn Settlement
Dawn Settlement was a 19th-century Canadian community founded by formerly enslaved African Americans as a refuge and center for Black self-determination and education.
E1616446 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: Dawn Settlement | Statement: [Uncle Tom’s Cabin Historic Site, associatedWith, Dawn Settlement]
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: Dawn Settlement
Triple: [Uncle Tom’s Cabin Historic Site, associatedWith, Dawn Settlement]
Generated description
Dawn Settlement was a 19th-century Canadian community founded by formerly enslaved African Americans as a refuge and center for Black self-determination and education.

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_69e288c3999c8190809b282a04813dec completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1db1f4c98819089a0e470593baf5b completed April 29, 2026, 10:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f966cdc948190b2a47a9d97f1baeb completed May 21, 2026, 11:34 p.m.
NEDg Description generation batch_6a0f97690ba881908497a2b913a1703f completed May 21, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f9833113c81909228b113aa2e36cd completed May 21, 2026, 11:41 p.m.
Created at: April 17, 2026, 10:43 p.m.