Triple

T22154270
Position Surface form Disambiguated ID Type / Status
Subject Dartmeet E547492 entity
Predicate locatedNear P294 FINISHED
Object Hexworthy
Hexworthy is a small hamlet on Dartmoor in Devon, England, known for its rural setting, traditional buildings, and proximity to scenic moorland and river landscapes.
 E1521889 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: Hexworthy | Statement: [Dartmeet, locatedNear, Hexworthy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hexworthy
Context triple: [Dartmeet, locatedNear, Hexworthy]
  • A. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • B. Medigoron
    Medigoron is a prominent Goron blacksmith in The Legend of Zelda series, known for crafting powerful swords for the player.
  • C. Chemmis
    Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
  • D. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • E. Cutwell
    Cutwell is a somewhat inept but well-meaning young wizard and royal adviser from Terry Pratchett’s Discworld novel "Mort."
  • 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: Hexworthy
Triple: [Dartmeet, locatedNear, Hexworthy]
Generated description
Hexworthy is a small hamlet on Dartmoor in Devon, England, known for its rural setting, traditional buildings, and proximity to scenic moorland and river landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hexworthy
Target entity description: Hexworthy is a small hamlet on Dartmoor in Devon, England, known for its rural setting, traditional buildings, and proximity to scenic moorland and river landscapes.
  • A. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • B. Medigoron
    Medigoron is a prominent Goron blacksmith in The Legend of Zelda series, known for crafting powerful swords for the player.
  • C. Chemmis
    Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
  • D. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • E. Cutwell
    Cutwell is a somewhat inept but well-meaning young wizard and royal adviser from Terry Pratchett’s Discworld novel "Mort."
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a970a95488190ac723daa646820d0 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a98bae8bc8190bd6a87983a1a6732 completed May 18, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0a99485cf881908764d64050667ea1 completed May 18, 2026, 4:44 a.m.
Created at: April 16, 2026, 8:33 p.m.