Triple

T26515373
Position Surface form Disambiguated ID Type / Status
Subject River Thames islands E669797 entity
Predicate hasPart P35 FINISHED
Object Boulter’s Lock islands
Boulter’s Lock islands are a small group of river islands near Boulter’s Lock on the River Thames in England, known for their scenic setting and association with leisure boating.
 E1731112 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: Boulter’s Lock islands | Statement: [River Thames islands, hasPart, Boulter’s Lock islands]
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: Boulter’s Lock islands
Triple: [River Thames islands, hasPart, Boulter’s Lock islands]
Generated description
Boulter’s Lock islands are a small group of river islands near Boulter’s Lock on the River Thames in England, known for their scenic setting and association with leisure boating.

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_69eeb31b6dcc8190b30632dc3928a0c0 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613bc641c819084343cc78d080640 completed May 2, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c80dda5081909b268a35fd4bde1c completed May 23, 2026, 3:30 p.m.
NEDg Description generation batch_6a11c990b5b0819089db74aa73b886a0 completed May 23, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a11ca5af2a88190b64f3929d0abb7c8 completed May 23, 2026, 3:40 p.m.
Created at: April 27, 2026, 1:23 a.m.