Triple

T27714010
Position Surface form Disambiguated ID Type / Status
Subject Battle of Blackstocks E698768 entity
Predicate tookPlaceAt P373 FINISHED
Object Blackstock’s Farm
Blackstock’s Farm is a historic South Carolina site best known as the location of a significant 1780 American Revolutionary War battle between Patriot and British forces.
 E1785066 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: Blackstock’s Farm | Statement: [Battle of Blackstocks, tookPlaceAt, Blackstock’s Farm]
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: Blackstock’s Farm
Triple: [Battle of Blackstocks, tookPlaceAt, Blackstock’s Farm]
Generated description
Blackstock’s Farm is a historic South Carolina site best known as the location of a significant 1780 American Revolutionary War battle between Patriot and British forces.

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_69ef590f655c81909f93893b3b3219b2 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f635ce8d2081908d1653430d02b35e completed May 2, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e46395e48190bcf054f958449f0c completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e528463c819087d479b960e660d2 completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e58a24a08190baec56a49e9f24e8 completed May 24, 2026, 11:48 a.m.
Created at: April 27, 2026, 3:03 p.m.