Triple

T36264003
Position Surface form Disambiguated ID Type / Status
Subject Leicester Clock Tower E892171 entity
Predicate streetJunctionOf P6234 FINISHED
Object High Street
High Street is a central shopping and commercial thoroughfare in Leicester, England, located near the landmark Leicester Clock Tower.
 E2261111 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: High Street | Statement: [Leicester Clock Tower, streetJunctionOf, High Street]
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: High Street
Triple: [Leicester Clock Tower, streetJunctionOf, High Street]
Generated description
High Street is a central shopping and commercial thoroughfare in Leicester, England, located near the landmark Leicester Clock Tower.

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_6a418521eb0c81908464452a197e4967 completed June 28, 2026, 8:33 p.m.
NEDg Description generation batch_6a418614ac648190bdad4426fee791fb completed June 28, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_6a4186d235348190a89738f739b88fdb completed June 28, 2026, 8:40 p.m.
Created at: May 3, 2026, 4:09 p.m.