Triple

T24403363
Position Surface form Disambiguated ID Type / Status
Subject Willoughby Run E615239 entity
Predicate near P350 FINISHED
Object Reynolds Woods
Reynolds Woods is a wooded area on the Gettysburg Battlefield in Pennsylvania, historically significant as the site of intense fighting on the first day of the Battle of Gettysburg during the American Civil War.
E1631013 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: Reynolds Woods | Statement: [Willoughby Run, near, Reynolds Woods]
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: Reynolds Woods
Triple: [Willoughby Run, near, Reynolds Woods]
Generated description
Reynolds Woods is a wooded area on the Gettysburg Battlefield in Pennsylvania, historically significant as the site of intense fighting on the first day of the Battle of Gettysburg during the American Civil 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_69e2d7e780bc81908049c779e697a7f6 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f294dcf7f4819094d2a3be163a5822 completed April 29, 2026, 11:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd689db7c819093b3225fe2efcf6e completed May 22, 2026, 4:07 a.m.
NEDg Description generation batch_6a0fd870ba548190acc06f694170e997 completed May 22, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd8f7c44881909c84a8baac1bcd02 completed May 22, 2026, 4:17 a.m.
Created at: April 18, 2026, 2:05 a.m.