Triple

T36263994
Position Surface form Disambiguated ID Type / Status
Subject Leicester Clock Tower E892171 entity
Predicate hasPart P35 FINISHED
Object statue of William Wyggeston
The statue of William Wyggeston is a sculpted figure of the influential medieval Leicester wool merchant and benefactor, prominently displayed as part of the city's historic Clock Tower monument.
E2175922 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: statue of William Wyggeston | Statement: [Leicester Clock Tower, hasPart, statue of William Wyggeston]
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: statue of William Wyggeston
Triple: [Leicester Clock Tower, hasPart, statue of William Wyggeston]
Generated description
The statue of William Wyggeston is a sculpted figure of the influential medieval Leicester wool merchant and benefactor, prominently displayed as part of the city's historic Clock Tower monument.

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_69f76e4699188190af045b11a840ce31 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b624a9988190871ef23197ec13b2 completed May 3, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a396e0c50508190953c4b30f6dc227e completed June 22, 2026, 5:17 p.m.
NEDg Description generation batch_6a396ea572248190986c4f71d6cde887 completed June 22, 2026, 5:19 p.m.
NED2 Entity disambiguation (via description) batch_6a396f3ec8bc8190b9f3a25381b8a52d completed June 22, 2026, 5:22 p.m.
Created at: May 3, 2026, 4:09 p.m.