Triple

T3224312
Position Surface form Disambiguated ID Type / Status
Subject Tonbridge and Malling Borough E67586 entity
Predicate contains P35 FINISHED
Object Plaxtol
Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
E338766 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: Plaxtol | Statement: [Tonbridge and Malling Borough, contains, Plaxtol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plaxtol
Context triple: [Tonbridge and Malling Borough, contains, Plaxtol]
  • A. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • B. Plegridy
    Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
  • C. Balemartine
    Balemartine is a small coastal village located on the island of Tiree in Scotland’s Inner Hebrides.
  • D. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • 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: Plaxtol
Triple: [Tonbridge and Malling Borough, contains, Plaxtol]
Generated description
Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Plaxtol
Target entity description: Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
  • A. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • B. Plegridy
    Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
  • C. Balemartine
    Balemartine is a small coastal village located on the island of Tiree in Scotland’s Inner Hebrides.
  • D. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1ae8f08190880d0f0e8539cdbc completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2625a22148190927b2a63ae3fc726 completed March 12, 2026, 6:51 a.m.
NEDg Description generation batch_69b264c6022c81908b3235e88a7ed27f completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b268bd0d3c8190a60dda0a9086c0cc completed March 12, 2026, 7:18 a.m.
Created at: March 8, 2026, 3:08 p.m.