Triple

T30019447
Position Surface form Disambiguated ID Type / Status
Subject A-32 motorway E762690 entity
Predicate hasRoadNumber P1864 FINISHED
Object A-32
A-32 is a designated motorway route identified by the road number A-32.
E1897596 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: A-32 | Statement: [A-32 motorway, hasRoadNumber, A-32]
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: A-32
Triple: [A-32 motorway, hasRoadNumber, A-32]
Generated description
A-32 is a designated motorway route identified by the road number A-32.

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_69f2246b0c84819094f1250b6a02d277 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67986d50481909be55ada094f2ea1 completed May 2, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27322b86ac8190b4a290ad7bc343bc completed June 8, 2026, 9:20 p.m.
NEDg Description generation batch_6a273663da308190aad85b5e824384d8 completed June 8, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a273a333d4481908f4c0291bc5cd960 completed June 8, 2026, 9:54 p.m.
Created at: April 29, 2026, 6:47 p.m.