Triple

T24496144

Position	Surface form	Disambiguated ID	Type / Status
Subject	Herbst Woods	`E617797`	entity
Predicate	alsoKnownAs	`P39`	FINISHED
Object	McPherson Woods McPherson Woods, historically known as Herbst Woods, is a wooded area on the Gettysburg Battlefield notable as the site of intense fighting on the first day of the Battle of Gettysburg during the American Civil War.	`E1638710`	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: McPherson Woods | Statement: [Herbst Woods, alsoKnownAs, McPherson 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: McPherson Woods
Triple: [Herbst Woods, alsoKnownAs, McPherson Woods]

Generated description

McPherson Woods, historically known as Herbst Woods, is a wooded area on the Gettysburg Battlefield notable 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_69e2d7f4e6bc8190aec540ae3b9ed7f2`	completed	April 18, 2026, 1:01 a.m.
NER	Named-entity recognition	`batch_69f2a7f9108081908141745d4148192b`	completed	April 30, 2026, 12:53 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fee85465081908fa7bbf711669b95`	completed	May 22, 2026, 5:49 a.m.
NEDg	Description generation	`batch_6a0fefc529bc8190981de2ee2645b6ac`	completed	May 22, 2026, 5:55 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0ff08d9fac81909ea8af6e6b10102a`	completed	May 22, 2026, 5:58 a.m.

Created at: April 18, 2026, 2:22 a.m.