Triple

T26515336
Position Surface form Disambiguated ID Type / Status
Subject River Thames islands E669797 entity
Predicate hasPart P35 FINISHED
Object Hamhaugh Island
Hamhaugh Island is a small residential island on the River Thames in England, known for its riverside homes and access only by footbridge or boat.
 E2296221 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: Hamhaugh Island | Statement: [River Thames islands, hasPart, Hamhaugh Island]
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: Hamhaugh Island
Triple: [River Thames islands, hasPart, Hamhaugh Island]
Generated description
Hamhaugh Island is a small residential island on the River Thames in England, known for its riverside homes and access only by footbridge or boat.

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_6a824d3714fc8190993eb3ee75417d6b completed Aug. 16, 2026, 11:52 p.m.
NEDg Description generation batch_6a824d91194881908e17591aab44cbf7 completed Aug. 16, 2026, 11:53 p.m.
NED2 Entity disambiguation (via description) batch_6a824dbe6f2c81908c5223938ee4034b completed Aug. 16, 2026, 11:54 p.m.
Created at: April 27, 2026, 1:23 a.m.