Triple

T34888382
Position Surface form Disambiguated ID Type / Status
Subject Parc national de l’Île-Bonaventure-et-du-Rocher-Percé E1006212 entity
Predicate hasPart P35 FINISHED
Object Rocher Percé
Rocher Percé is a famous natural limestone arch and sea stack off the coast of the Gaspé Peninsula in Quebec, Canada, renowned as a striking coastal landmark and tourist attraction.
E2119681 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: Rocher Percé | Statement: [Parc national de l’Île-Bonaventure-et-du-Rocher-Percé, hasPart, Rocher Percé]
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: Rocher Percé
Triple: [Parc national de l’Île-Bonaventure-et-du-Rocher-Percé, hasPart, Rocher Percé]
Generated description
Rocher Percé is a famous natural limestone arch and sea stack off the coast of the Gaspé Peninsula in Quebec, Canada, renowned as a striking coastal landmark and tourist attraction.

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_69f76dbedb288190afe5780710847410 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f781bc62788190897f069664a4260b completed May 3, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b25de02c8190956d5698dbabf474 completed June 21, 2026, 9:43 a.m.
NEDg Description generation batch_6a37b2e1a20c8190a5012a40d0fc54de completed June 21, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_6a37b396617c8190bc3fd123f565447a completed June 21, 2026, 9:49 a.m.
Created at: May 3, 2026, 4 p.m.