Triple

T30795169
Position Surface form Disambiguated ID Type / Status
Subject Cambridge road network E784209 entity
Predicate hasBypass P12840 FINISHED
Object A14 Cambridge northern bypass
The A14 Cambridge northern bypass is a major trunk road section that diverts long-distance traffic around the north of Cambridge, easing congestion on local routes and linking key east–west transport corridors.
E1930458 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: A14 Cambridge northern bypass | Statement: [Cambridge road network, hasBypass, A14 Cambridge northern bypass]
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: A14 Cambridge northern bypass
Triple: [Cambridge road network, hasBypass, A14 Cambridge northern bypass]
Generated description
The A14 Cambridge northern bypass is a major trunk road section that diverts long-distance traffic around the north of Cambridge, easing congestion on local routes and linking key east–west transport corridors.

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_69f224b2e2a48190b19aa43db9da5b67 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f690110f008190a1577560ed7790ed completed May 3, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_6a28b0ad88e48190b1a484920e132fc8 completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b1ed9b0c8190986159e58593fadf completed June 10, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a28b2b51afc81908cae8756f6d9b3a1 completed June 10, 2026, 12:41 a.m.
Created at: April 29, 2026, 8:42 p.m.