Triple

T25740429

Position	Surface form	Disambiguated ID	Type / Status
Subject	Baron Sumption, of Mount Harry in the County of East Sussex	`E648199`	entity
Predicate	associatedLocalArea	`P19735`	FINISHED
Object	Mount Harry Mount Harry is a hill and surrounding area in East Sussex, England, known for its scenic downland landscape and historical associations.	`E1696012`	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: Mount Harry | Statement: [Baron Sumption, of Mount Harry in the County of East Sussex, associatedLocalArea, Mount Harry]

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: Mount Harry
Triple: [Baron Sumption, of Mount Harry in the County of East Sussex, associatedLocalArea, Mount Harry]

Generated description

Mount Harry is a hill and surrounding area in East Sussex, England, known for its scenic downland landscape and historical associations.

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

Target predicate: associatedLocalArea
Context triple: [Baron Sumption, of Mount Harry in the County of East Sussex, associatedLocalArea, Mount Harry]

A. residesNear
Indicates that one entity lives or is located in close physical proximity to another entity.
B. associatedWithLocality chosen
Indicates a relationship where something has a connection or relevance to a specific geographic place or locality.
C. 所在地エリア
Indicates the geographical area or region in which an entity is located or based.
D. hasNearbyGeographicalArea
Indicates that one geographical area is located in close spatial proximity to another geographical area.
E. hasNearbyCityArea
Indicates that one area is geographically close to or adjacent to a city area.
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_69e7ab306eec8190b05c312c6ab186b8`	completed	April 21, 2026, 4:52 p.m.
NER	Named-entity recognition	`batch_69fda94697c4819081291967202248be`	completed	May 8, 2026, 9:13 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10da03ea9881909b21ce0541613157`	completed	May 22, 2026, 10:34 p.m.
NEDg	Description generation	`batch_6a10da9b545081908e5837e1de98fe40`	completed	May 22, 2026, 10:37 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10db0f7a608190ae0c34f6f6ce0ad8`	completed	May 22, 2026, 10:39 p.m.
PD	Predicate disambiguation	`batch_69fda5973fcc8190a57daef31fb70a49`	completed	May 8, 2026, 8:57 a.m.

Created at: April 22, 2026, 3:42 a.m.