Triple

T28099519
Position Surface form Disambiguated ID Type / Status
Subject Noyelles-Godault E710190 entity
Predicate locatedOnTransportCorridor P2409 FINISHED
Object A1 motorway corridor (nearby)
The A1 motorway corridor is a major French highway route in northern France that connects Paris to Lille and Belgium, serving as a key transport axis for nearby towns such as Noyelles-Godault.
E1803148 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: A1 motorway corridor (nearby) | Statement: [Noyelles-Godault, locatedOnTransportCorridor, A1 motorway corridor (nearby)]
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: A1 motorway corridor (nearby)
Triple: [Noyelles-Godault, locatedOnTransportCorridor, A1 motorway corridor (nearby)]
Generated description
The A1 motorway corridor is a major French highway route in northern France that connects Paris to Lille and Belgium, serving as a key transport axis for nearby towns such as Noyelles-Godault.

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_69ef9b70fd108190a875953b2e50ca91 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f640908b208190857b085879e60e1c completed May 2, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c926cd0881909ae1aa3d39512418 completed May 26, 2026, 4:24 p.m.
NEDg Description generation batch_6a15cd324ba8819090478ecef40017ea completed May 26, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_6a15ce365de4819098362b1376950217 completed May 26, 2026, 4:45 p.m.
Created at: April 27, 2026, 9:04 p.m.