Triple

T29781902
Position Surface form Disambiguated ID Type / Status
Subject High Street, Oxford E756138 entity
Predicate hasName P744 FINISHED
Object High Street
High Street is a historic and architecturally notable main thoroughfare in central Oxford, England, lined with university colleges, shops, and landmark buildings.
 E756138 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: [High Street, Oxford, hasName, 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: [High Street, Oxford, hasName, High Street]
Generated description
High Street is a historic and architecturally notable main thoroughfare in central Oxford, England, lined with university colleges, shops, and landmark buildings.

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_69f22451fb748190bbdbab401280affb completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f674a6405c81908d9d4ebaf690e975 completed May 2, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37d92b374481908468b52583d85265 completed June 21, 2026, 12:29 p.m.
NEDg Description generation batch_6a37da562654819080893c616ec257e2 completed June 21, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_6a37dbed7540819081bd95af5520b163 completed June 21, 2026, 12:41 p.m.
Created at: April 29, 2026, 5:05 p.m.