Triple

T1476310
Position Surface form Disambiguated ID Type / Status
Subject Essex E30848 entity
Predicate containsSettlement P847 FINISHED
Object Tilbury
Tilbury is a port town on the north bank of the River Thames in Essex, England, known for its docks and historic forts guarding the approach to London.
E222850 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: Tilbury | Statement: [Essex, containsSettlement, Tilbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tilbury
Context triple: [Essex, containsSettlement, Tilbury]
  • A. Tilbury
    Tilbury is a small community within the municipality of Chatham-Kent in southwestern Ontario, Canada, known for its agricultural surroundings and local services.
  • B. Isleworth
    Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
  • C. Berkhamsted
    Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
  • D. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • E. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • 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: Tilbury
Triple: [Essex, containsSettlement, Tilbury]
Generated description
Tilbury is a port town on the north bank of the River Thames in Essex, England, known for its docks and historic forts guarding the approach to London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tilbury
Target entity description: Tilbury is a port town on the north bank of the River Thames in Essex, England, known for its docks and historic forts guarding the approach to London.
  • A. Tilbury
    Tilbury is a small community within the municipality of Chatham-Kent in southwestern Ontario, Canada, known for its agricultural surroundings and local services.
  • B. Isleworth
    Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
  • C. Berkhamsted
    Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
  • D. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • E. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c603f9e88190b340734709534860 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02f8483c8190a72c79f5b60eb927 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae03e575a88190a93181eb9d9bc3eb completed March 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69ae0473aecc8190b3da07fb8fd18e81 completed March 8, 2026, 11:21 p.m.
Created at: March 1, 2026, 8:11 p.m.