Triple

T34858657

Position	Surface form	Disambiguated ID	Type / Status
Subject	William Beech	`E1004800`	entity
Predicate	isEvacuatedTo	`P151422`	FINISHED
Object	Little Weirwold Little Weirwold is a quiet, rural English village that serves as the primary countryside setting in Michelle Magorian’s novel "Goodnight Mister Tom."	`E2115629`	NE FINISHED

How this triple was built (3 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: Little Weirwold | Statement: [William Beech, isEvacuatedTo, Little Weirwold]

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: Little Weirwold
Triple: [William Beech, isEvacuatedTo, Little Weirwold]

Generated description

Little Weirwold is a quiet, rural English village that serves as the primary countryside setting in Michelle Magorian’s novel "Goodnight Mister Tom."

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: isEvacuatedTo
Context triple: [William Beech, isEvacuatedTo, Little Weirwold]

A. evacuatedBy
Indicates that an entity is removed or cleared from a place or situation through the action or assistance of another agent or process.
B. hasEvacuationTarget chosen
Indicates that an entity has a designated location or destination to which it should be evacuated in an emergency or contingency situation.
C. evacuatedDuring
Indicates that one entity was removed or relocated from a place or situation during the time period or event represented by the other entity.
D. permanentlyEvacuated
Indicates that an entity has been removed from a place or situation with no intention or expectation of returning.
E. hasEvacuationZone
Indicates that a specified area or location falls within a designated evacuation zone associated with another entity (such as an event, hazard, or authority).
F. None of above.

Provenance (6 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_69f76dbb678081909a247b9b5e1a73ac`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f782f4f10081908f97f6d0d2dbeec7`	completed	May 3, 2026, 5:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37795ca3408190a89af6b177cba73f`	completed	June 21, 2026, 5:40 a.m.
NEDg	Description generation	`batch_6a377ab8b5308190982af72170eef223`	completed	June 21, 2026, 5:46 a.m.
NED2	Entity disambiguation (via description)	`batch_6a377b68e81c8190945fc86d705cb151`	completed	June 21, 2026, 5:49 a.m.
PD	Predicate disambiguation	`batch_69f780ff71cc8190a67e71076fbad81a`	completed	May 3, 2026, 5:08 p.m.

Created at: May 3, 2026, 4 p.m.