Triple

T27118784
Position Surface form Disambiguated ID Type / Status
Subject River Flit E686928 entity
Predicate hasAssociatedFeature P29386 FINISHED
Object Flit Valley
Flit Valley is a river valley in Bedfordshire, England, shaped by the course of the River Flit and known for its rural landscapes and local wildlife habitats.
 E1758545 NE FINISHED

How this triple was built (2 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: Flit Valley | Statement: [River Flit, hasAssociatedFeature, Flit Valley]
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: Flit Valley
Triple: [River Flit, hasAssociatedFeature, Flit Valley]
Generated description
Flit Valley is a river valley in Bedfordshire, England, shaped by the course of the River Flit and known for its rural landscapes and local wildlife habitats.

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_69ef148c2b588190afc15b529f7af845 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f6244119d0819081b22d365f9b907d completed May 2, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a124815a1148190a70fb328246235f7 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1249514a4881909357bb4e1c502d2b completed May 24, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a124a0a69188190a543bca2b05b2402 completed May 24, 2026, 12:44 a.m.
Created at: April 27, 2026, 8:58 a.m.