Triple
T35503038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée des Beaux-Arts de Lyon |
E1026066
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Greek and Roman antiquities department
The Greek and Roman antiquities department is a curatorial division of the Musée des Beaux-Arts de Lyon dedicated to preserving and exhibiting ancient Mediterranean artworks and artifacts from classical civilizations.
|
E2144559
|
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: Greek and Roman antiquities department | Statement: [Musée des Beaux-Arts de Lyon, hasPart, Greek and Roman antiquities department]
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: Greek and Roman antiquities department Triple: [Musée des Beaux-Arts de Lyon, hasPart, Greek and Roman antiquities department]
Generated description
The Greek and Roman antiquities department is a curatorial division of the Musée des Beaux-Arts de Lyon dedicated to preserving and exhibiting ancient Mediterranean artworks and artifacts from classical civilizations.
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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7976b87748190934cb4bb4702abbf |
completed | May 3, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a384a30a0048190b9a90ce3ff16d6a5 |
completed | June 21, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_6a384ad781b48190b37e3ae4708eae57 |
completed | June 21, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a384b6c05ec8190b41e56814b5bf7c0 |
completed | June 21, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:04 p.m.