Triple

T20331515
Position Surface form Disambiguated ID Type / Status
Subject Elvet Bridge E492493 entity
Predicate connects P390 FINISHED
Object Elvet
Elvet is a historic area of Durham, England, known for its medieval streets, riverside setting, and proximity to Durham Cathedral and Castle.
E1425324 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: Elvet | Statement: [Elvet Bridge, connects, Elvet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elvet
Context triple: [Elvet Bridge, connects, Elvet]
  • A. Mortsund
    Mortsund is a small fishing village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • B. Grimeton
    Grimeton is a locality in Sweden best known for hosting the historic VLF radio station SAQ, a UNESCO World Heritage Site.
  • C. Valeyard
    The Valeyard is a sinister, future incarnation of the Doctor in the Doctor Who universe, embodying his darker aspects and serving as a major antagonist.
  • D. Sandvollan
    Sandvollan is a village in the municipality of Inderøy in Trøndelag county, Norway.
  • E. Urstein
    Urstein is a locality in the municipality of Puch bei Hallein in the Austrian state of Salzburg, known for hosting the Salzburg University of Applied Sciences campus.
  • 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: Elvet
Triple: [Elvet Bridge, connects, Elvet]
Generated description
Elvet is a historic area of Durham, England, known for its medieval streets, riverside setting, and proximity to Durham Cathedral and Castle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elvet
Target entity description: Elvet is a historic area of Durham, England, known for its medieval streets, riverside setting, and proximity to Durham Cathedral and Castle.
  • A. Mortsund
    Mortsund is a small fishing village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • B. Grimeton
    Grimeton is a locality in Sweden best known for hosting the historic VLF radio station SAQ, a UNESCO World Heritage Site.
  • C. Valeyard
    The Valeyard is a sinister, future incarnation of the Doctor in the Doctor Who universe, embodying his darker aspects and serving as a major antagonist.
  • D. Sandvollan
    Sandvollan is a village in the municipality of Inderøy in Trøndelag county, Norway.
  • E. Urstein
    Urstein is a locality in the municipality of Puch bei Hallein in the Austrian state of Salzburg, known for hosting the Salzburg University of Applied Sciences campus.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e7baf481909282293d78597634 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086953ed6c8190bb9a33b2fc2f09e5 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869e2a80481909105005195330dc9 completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a6812a08190b4594fa9b6054355 completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:22 a.m.