Triple

T4825851
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Hounslow E107822 entity
Predicate hasDistrict P459 FINISHED
Object Hanworth
Hanworth is a suburban residential area in west London, England, known for its parks, local amenities, and proximity to Heathrow Airport.
E473440 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: Hanworth | Statement: [London Borough of Hounslow, hasDistrict, Hanworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanworth
Context triple: [London Borough of Hounslow, hasDistrict, Hanworth]
  • A. Hanau
    Hanau is a town in the German state of Hesse, known as an important regional center and the birthplace of the Brothers Grimm.
  • B. Herford
    Herford is a historic town in northwestern Germany known for its medieval architecture and location in the region of North Rhine-Westphalia.
  • C. Hagen
    Hagen is a city in the Ruhr region of North Rhine-Westphalia in western Germany, known historically as an industrial and transport hub.
  • D. Hennef
    Hennef is a town in North Rhine-Westphalia, Germany, situated on the river Sieg near Bonn and known for its mix of residential areas, industry, and surrounding countryside.
  • E. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • 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: Hanworth
Triple: [London Borough of Hounslow, hasDistrict, Hanworth]
Generated description
Hanworth is a suburban residential area in west London, England, known for its parks, local amenities, and proximity to Heathrow Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hanworth
Target entity description: Hanworth is a suburban residential area in west London, England, known for its parks, local amenities, and proximity to Heathrow Airport.
  • A. Hanau
    Hanau is a town in the German state of Hesse, known as an important regional center and the birthplace of the Brothers Grimm.
  • B. Herford
    Herford is a historic town in northwestern Germany known for its medieval architecture and location in the region of North Rhine-Westphalia.
  • C. Hagen
    Hagen is a city in the Ruhr region of North Rhine-Westphalia in western Germany, known historically as an industrial and transport hub.
  • D. Hennef
    Hennef is a town in North Rhine-Westphalia, Germany, situated on the river Sieg near Bonn and known for its mix of residential areas, industry, and surrounding countryside.
  • E. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dca2b708190ac05c91ba04d9ff6 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4fc6ea3c819099ede84700eb5a5a completed March 21, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69be5146f1ac8190977512323af69487 completed March 21, 2026, 8:05 a.m.
Created at: March 20, 2026, 1:24 p.m.