Triple

T33265473

Position	Surface form	Disambiguated ID	Type / Status
Subject	Thorp Arch	`E851631`	entity
Predicate	hasHistoricalUseNearby	`P51359`	FINISHED
Object	Royal Ordnance Factory Thorp Arch Royal Ordnance Factory Thorp Arch was a major World War II-era munitions manufacturing complex in West Yorkshire, England, later repurposed for civilian industrial and commercial use.	`E2044360`	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: Royal Ordnance Factory Thorp Arch | Statement: [Thorp Arch, hasHistoricalUseNearby, Royal Ordnance Factory Thorp Arch]

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: Royal Ordnance Factory Thorp Arch
Triple: [Thorp Arch, hasHistoricalUseNearby, Royal Ordnance Factory Thorp Arch]

Generated description

Royal Ordnance Factory Thorp Arch was a major World War II-era munitions manufacturing complex in West Yorkshire, England, later repurposed for civilian industrial and commercial use.

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

Target predicate: hasHistoricalUseNearby
Context triple: [Thorp Arch, hasHistoricalUseNearby, Royal Ordnance Factory Thorp Arch]

A. hasFormerUseNearby chosen
Indicates that something in the vicinity previously had a particular use or function that is no longer current.
B. hasHistoricalUsageIn
Indicates that something has been used or practiced within a particular historical period, context, or tradition.
C. hasNearbyHistoricArea
Indicates that one entity is located close to another entity that is designated as a historic area.
D. hasSharedHistoricalUse
Indicates that two or more entities have been used together or in a similar way within the same historical context or period.
E. historicalServiceNear
Indicates that a historical service or event occurred in close spatial proximity to a specified location or entity.
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_69f349642dac81908a37ffcc3b976a55`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69fec8aef1d8819094c7fd7074038e6b`	completed	May 9, 2026, 5:39 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a35391c568081908e1821cea63d906f`	completed	June 19, 2026, 12:42 p.m.
NEDg	Description generation	`batch_6a353992e2c48190b777313293290bad`	completed	June 19, 2026, 12:44 p.m.
NED2	Entity disambiguation (via description)	`batch_6a353a48a0e08190bbd5d55a8bd390ae`	completed	June 19, 2026, 12:47 p.m.
PD	Predicate disambiguation	`batch_69fec639876481908efd84a3631a4271`	completed	May 9, 2026, 5:29 a.m.

Created at: May 1, 2026, 1:32 a.m.