Triple

T24979707
Position Surface form Disambiguated ID Type / Status
Subject High Street, Windsor E625130 entity
Predicate hasLandmark P105 FINISHED
Object Queen Victoria statue, Windsor
The Queen Victoria statue in Windsor is a prominent public monument honoring the long-reigning British monarch, situated near Windsor Castle and serving as a notable historic landmark in the town.
E1658386 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: Queen Victoria statue, Windsor | Statement: [High Street, Windsor, hasLandmark, Queen Victoria statue, Windsor]
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: Queen Victoria statue, Windsor
Triple: [High Street, Windsor, hasLandmark, Queen Victoria statue, Windsor]
Generated description
The Queen Victoria statue in Windsor is a prominent public monument honoring the long-reigning British monarch, situated near Windsor Castle and serving as a notable historic landmark in the town.

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_69e2ff254570819093d197b1900305ac completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f4490531148190825ab7084a2616f3 completed May 1, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10335f95cc81908c36e4841a10e0e7 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a103420ed908190b7be8e1a8b82a85c completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034aa0ed881909d877e1d9159b9d2 completed May 22, 2026, 10:49 a.m.
Created at: April 18, 2026, 6:02 a.m.