Triple

T21331663
Position Surface form Disambiguated ID Type / Status
Subject Greystone Bridge E525917 entity
Predicate parish P2739 FINISHED
Object Lezant
Lezant is a rural civil parish and village in east Cornwall, England, known for its historic churches and proximity to the River Tamar.
E1478444 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: Lezant | Statement: [Greystone Bridge, parish, Lezant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lezant
Context triple: [Greystone Bridge, parish, Lezant]
  • A. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • B. Lornay
    Lornay is a small French commune located in the Haute-Savoie department in southeastern France.
  • C. Corrsin
    Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
  • D. Penchard
    Penchard is a French surname most notably borne by Marie-Luce Penchard, a politician from Guadeloupe who has served in the French government.
  • E. Lechmere
    Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
  • 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: Lezant
Triple: [Greystone Bridge, parish, Lezant]
Generated description
Lezant is a rural civil parish and village in east Cornwall, England, known for its historic churches and proximity to the River Tamar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lezant
Target entity description: Lezant is a rural civil parish and village in east Cornwall, England, known for its historic churches and proximity to the River Tamar.
  • A. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • B. Lornay
    Lornay is a small French commune located in the Haute-Savoie department in southeastern France.
  • C. Corrsin
    Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
  • D. Penchard
    Penchard is a French surname most notably borne by Marie-Luce Penchard, a politician from Guadeloupe who has served in the French government.
  • E. Lechmere
    Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab54706081909445f9cd91a43788 completed April 21, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5be9c288190b44f760ad94d9fed completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a6922e1c8190a2210b22ed1f31ef completed May 17, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09a6f4db008190b11b10c45ab20ed5 completed May 17, 2026, 11:31 a.m.
Created at: April 16, 2026, 4:42 p.m.