Triple

T25896247
Position Surface form Disambiguated ID Type / Status
Subject Fort Morton area E652477 entity
Predicate category P87 FINISHED
Object American Civil War sites in Virginia
American Civil War sites in Virginia are historically significant battlefields, fortifications, and related locations across the state that played central roles in major military campaigns and events of the war.
E1699847 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: American Civil War sites in Virginia | Statement: [Fort Morton area, category, American Civil War sites in Virginia]
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: American Civil War sites in Virginia
Triple: [Fort Morton area, category, American Civil War sites in Virginia]
Generated description
American Civil War sites in Virginia are historically significant battlefields, fortifications, and related locations across the state that played central roles in major military campaigns and events of the war.

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_69e7ab3c6cc081908de59bfcc28ec19d completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6038411088190975af82ad1156963 completed May 2, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ecc28bec8190bdaf306008b92e3c completed May 22, 2026, 11:54 p.m.
NEDg Description generation batch_6a10ed930a148190b794107b779bbdfd completed May 22, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_6a10efc6a0e48190a595a5025ad5c926 completed May 23, 2026, 12:07 a.m.
Created at: April 22, 2026, 8:23 a.m.