Triple

T5726657
Position Surface form Disambiguated ID Type / Status
Subject Wealden District E126281 entity
Predicate contains P35 FINISHED
Object Frant
Frant is a village and civil parish in East Sussex, England, known for its historic church, traditional village green, and rural Wealden countryside setting.
 E541437 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: Frant | Statement: [Wealden District, contains, Frant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frant
Context triple: [Wealden District, contains, Frant]
  • A. Fransat
    Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
  • B. Franci
    Franci is a diminutive form of the Italian given name Francesca, often used as an affectionate nickname.
  • C. Frans
    Frans is a common Dutch given name, notably borne by politician Frans Timmermans, a prominent European Union figure and former European Commission executive vice president.
  • D. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • E. Frits
    Frits is a Dutch given name most notably borne by Frits Bolkestein, a prominent Dutch politician and former European Commissioner.
  • 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: Frant
Triple: [Wealden District, contains, Frant]
Generated description
Frant is a village and civil parish in East Sussex, England, known for its historic church, traditional village green, and rural Wealden countryside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frant
Target entity description: Frant is a village and civil parish in East Sussex, England, known for its historic church, traditional village green, and rural Wealden countryside setting.
  • A. Fransat
    Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
  • B. Franci
    Franci is a diminutive form of the Italian given name Francesca, often used as an affectionate nickname.
  • C. Frans
    Frans is a common Dutch given name, notably borne by politician Frans Timmermans, a prominent European Union figure and former European Commission executive vice president.
  • D. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • E. Frits
    Frits is a Dutch given name most notably borne by Frits Bolkestein, a prominent Dutch politician and former European Commissioner.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0250a7f6c8190a264935086608186 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a86eea0819090bf6f9952d8dcc9 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05cabceac819095c4a114220efb1a completed March 22, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69c05d2ef9488190ac0111cb6a94b1d0 completed March 22, 2026, 9:20 p.m.
Created at: March 22, 2026, 3:47 p.m.