Triple

T37455068
Position Surface form Disambiguated ID Type / Status
Subject Western Avenue (A48) in Cardiff E930775 entity
Predicate formsPartOf P840 FINISHED
Object Cardiff road network
The Cardiff road network is the interconnected system of major and minor roads, including key arterial routes, that facilitates vehicular movement throughout the city of Cardiff, Wales.
E2226540 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: Cardiff road network | Statement: [Western Avenue (A48) in Cardiff, formsPartOf, Cardiff road network]
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: Cardiff road network
Triple: [Western Avenue (A48) in Cardiff, formsPartOf, Cardiff road network]
Generated description
The Cardiff road network is the interconnected system of major and minor roads, including key arterial routes, that facilitates vehicular movement throughout the city of Cardiff, Wales.

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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8e0ce590819087434d4ecc6f50da completed May 6, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40826588348190a9a7f0a0edf1b210 completed June 28, 2026, 2:09 a.m.
NEDg Description generation batch_6a4083266990819092378557ff164ce0 completed June 28, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a4083cb3a90819082ec8d56067094a0 completed June 28, 2026, 2:15 a.m.
Created at: May 3, 2026, 4:17 p.m.