Triple

T37430248
Position Surface form Disambiguated ID Type / Status
Subject Thurne Mouth E930113 entity
Predicate hasNearbyWaterwayJunction P16534 FINISHED
Object Thurne Dyke
Thurne Dyke is a small mooring dyke and boating spot on the Norfolk Broads in England, known for its riverside access and traditional windmill scenery.
 E2226256 NE FINISHED

How this triple was built (3 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: Thurne Dyke | Statement: [Thurne Mouth, hasNearbyWaterwayJunction, Thurne Dyke]
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: Thurne Dyke
Triple: [Thurne Mouth, hasNearbyWaterwayJunction, Thurne Dyke]
Generated description
Thurne Dyke is a small mooring dyke and boating spot on the Norfolk Broads in England, known for its riverside access and traditional windmill scenery.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyWaterwayJunction
Context triple: [Thurne Mouth, hasNearbyWaterwayJunction, Thurne Dyke]
  • A. waterwayJunction chosen
    Indicates a point where two or more waterways meet, intersect, or branch from one another.
  • B. hasWaterwayRole
    Indicates that an entity participates in or is associated with a waterway in a specific functional capacity or role.
  • C. isWaterway
    Indicates that one entity is a water-based route or channel (such as a river, canal, or sea lane) used for travel or transport.
  • D. nearbyInternationalWaterway
    Indicates that one entity is located close to an international waterway, such as a river, canal, or sea route that crosses or borders multiple countries.
  • E. isInWaterwaySystem
    Indicates that an entity is part of, contained within, or traverses a particular waterway network or system.
  • F. None of above.

Provenance (6 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_69f76ebf0f288190ba198a78341613b8 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a009f53a4948190aef4ede1713e1748 completed May 10, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4082531fa88190999f2382b207ab2f completed June 28, 2026, 2:09 a.m.
NEDg Description generation batch_6a4082d703748190b0d609d52adca94f completed June 28, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a40834942708190bd8bd3faa7a8f2c2 completed June 28, 2026, 2:13 a.m.
PD Predicate disambiguation batch_6a009edc53d4819080b22c1074a990f3 completed May 10, 2026, 3:06 p.m.
Created at: May 3, 2026, 4:17 p.m.