Triple

T14033781
Position Surface form Disambiguated ID Type / Status
Subject Drayton Bassett E337656 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Hopwas
Hopwas is a small English village in Staffordshire, known for its woodland, canalside setting, and proximity to the town of Tamworth.
 E1075049 NE FINISHED

How this triple was built (4 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: Hopwas | Statement: [Drayton Bassett, hasNearbySettlement, Hopwas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hopwas
Context triple: [Drayton Bassett, hasNearbySettlement, Hopwas]
  • A. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • B. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • C. Hap
    Hap is a supporting character in the 1989 romantic fantasy film "Always," which centers on a deceased pilot who returns as a spirit to guide the living.
  • D. Hooksiel
    Hooksiel is a coastal village in northern Germany’s Wangerland region, known for its North Sea beaches, harbor, and proximity to the Wadden Sea.
  • E. Hapi
    Hapi is a rich, configuration-centric Node.js web framework designed for building scalable, modular server-side applications and APIs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Hopwas
Triple: [Drayton Bassett, hasNearbySettlement, Hopwas]
Generated description
Hopwas is a small English village in Staffordshire, known for its woodland, canalside setting, and proximity to the town of Tamworth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hopwas
Target entity description: Hopwas is a small English village in Staffordshire, known for its woodland, canalside setting, and proximity to the town of Tamworth.
  • A. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • B. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • C. Hap
    Hap is a supporting character in the 1989 romantic fantasy film "Always," which centers on a deceased pilot who returns as a spirit to guide the living.
  • D. Hooksiel
    Hooksiel is a coastal village in northern Germany’s Wangerland region, known for its North Sea beaches, harbor, and proximity to the Wadden Sea.
  • E. Hapi
    Hapi is the ancient Egyptian god of the annual Nile inundation, symbolizing fertility, abundance, and the life-giving power of the river.
  • F. None of above. chosen

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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fac71188190a586049405f1071e completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc337a5cc8190953b84255a401ada completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc558d980819080c64df19907b4ec completed May 6, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69fbc5d76cdc8190970778580437cf72 completed May 6, 2026, 10:51 p.m.
Created at: April 9, 2026, 10:20 p.m.