Triple

T4743335
Position Surface form Disambiguated ID Type / Status
Subject Glossop E105298 entity
Predicate locatedNear P294 FINISHED
Object Snake Pass
Snake Pass is a high-altitude, winding road through the Peak District in northern England, known for its scenic views and challenging driving conditions.
 E467213 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: Snake Pass | Statement: [Glossop, locatedNear, Snake Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snake Pass
Context triple: [Glossop, locatedNear, Snake Pass]
  • A. The Snake's Pass
    The Snake's Pass is an 1890 adventure novel by Bram Stoker, set in rural Ireland and blending romance, folklore, and mystery around a legendary buried treasure.
  • B. Thunder Pass
    Thunder Pass is a mid-20th-century American Western film featuring actress Dorothy Patrick in a prominent role.
  • C. The Glen
    The Glen is a residential neighborhood located adjacent to the Palacefields area.
  • D. The Glen
    The Glen is a historic public park in Dunfermline, Scotland, known for its landscaped grounds, woodland walks, and cultural significance as part of Pittencrieff Park.
  • E. Valley Gates
    Valley Gates is a notable entrance area within Franklin Park in Boston, serving as one of the park’s key access points and landscape features.
  • 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: Snake Pass
Triple: [Glossop, locatedNear, Snake Pass]
Generated description
Snake Pass is a high-altitude, winding road through the Peak District in northern England, known for its scenic views and challenging driving conditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snake Pass
Target entity description: Snake Pass is a high-altitude, winding road through the Peak District in northern England, known for its scenic views and challenging driving conditions.
  • A. The Snake's Pass
    The Snake's Pass is an 1890 adventure novel by Bram Stoker, set in rural Ireland and blending romance, folklore, and mystery around a legendary buried treasure.
  • B. Thunder Pass
    Thunder Pass is a mid-20th-century American Western film featuring actress Dorothy Patrick in a prominent role.
  • C. The Glen
    The Glen is a residential neighborhood located adjacent to the Palacefields area.
  • D. The Glen
    The Glen is a historic public park in Dunfermline, Scotland, known for its landscaped grounds, woodland walks, and cultural significance as part of Pittencrieff Park.
  • E. Valley Gates
    Valley Gates is a notable entrance area within Franklin Park in Boston, serving as one of the park’s key access points and landscape features.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a85e9c81908e9c7bbbb998953e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a309a408190836c51d0fe85c5d8 completed March 21, 2026, 6:26 a.m.
NEDg Description generation batch_69be3d30efb4819088121ce087344da3 completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3d99a288819088e42e04de5c17a4 completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:19 p.m.