Triple

T23923232
Position Surface form Disambiguated ID Type / Status
Subject Route touristique de l’Île d’Orléans E602275 entity
Predicate mainRoadUsed P29561 FINISHED
Object Quebec Route 368
Quebec Route 368 is a scenic provincial highway that loops around Île d’Orléans near Quebec City, renowned for its picturesque rural landscapes, historic villages, and views of the St. Lawrence River.
E1670353 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: Quebec Route 368 | Statement: [Route touristique de l’Île d’Orléans, mainRoadUsed, Quebec Route 368]
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: Quebec Route 368
Triple: [Route touristique de l’Île d’Orléans, mainRoadUsed, Quebec Route 368]
Generated description
Quebec Route 368 is a scenic provincial highway that loops around Île d’Orléans near Quebec City, renowned for its picturesque rural landscapes, historic villages, and views of the St. Lawrence River.

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_69e2953b928c819095395fa87baca583 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cf1abd148190a8393418ed965019 completed April 29, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10678e3a28819095d520fd6608dd35 completed May 22, 2026, 2:26 p.m.
NEDg Description generation batch_6a106907472881908bb4565bb581dbbd completed May 22, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a10697c10bc8190a984f68d0bce5078 completed May 22, 2026, 2:34 p.m.
Created at: April 17, 2026, 8:41 p.m.