Triple

T9086488
Position Surface form Disambiguated ID Type / Status
Subject Twyford E217767 entity
Predicate nearSettlement P3883 FINISHED
Object Charvil
Charvil is a village and civil parish in Berkshire, England, situated close to the town of Twyford.
 E775848 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: Charvil | Statement: [Twyford, nearSettlement, Charvil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charvil
Context triple: [Twyford, nearSettlement, Charvil]
  • A. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • B. Huntziger
    Huntziger is a French surname most notably borne by General Charles Huntziger, a senior French Army officer during the World Wars.
  • C. Barbaroux
    Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
  • D. Griflet
    Griflet is a knight of the Round Table in Arthurian legend, often depicted as one of King Arthur’s loyal and early companions.
  • E. Labouret
    Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
  • 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: Charvil
Triple: [Twyford, nearSettlement, Charvil]
Generated description
Charvil is a village and civil parish in Berkshire, England, situated close to the town of Twyford.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charvil
Target entity description: Charvil is a village and civil parish in Berkshire, England, situated close to the town of Twyford.
  • A. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • B. Huntziger
    Huntziger is a French surname most notably borne by General Charles Huntziger, a senior French Army officer during the World Wars.
  • C. Barbaroux
    Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
  • D. Griflet
    Griflet is a knight of the Round Table in Arthurian legend, often depicted as one of King Arthur’s loyal and early companions.
  • E. Labouret
    Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9654cb3c819089fa8c0ab0841c81 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe40823481909a5c4b82bd24293a completed April 3, 2026, 5:52 p.m.
NEDg Description generation batch_69d000d5b24481908679dbb92372c4b9 completed April 3, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_69d001692c3481909924615717e316c2 completed April 3, 2026, 6:05 p.m.
Created at: March 30, 2026, 7:13 p.m.