Triple
T11634679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosoideae |
E276485
|
entity |
| Predicate | containsTaxon |
P9413
|
FINISHED |
| Object |
Rosa gallica
Rosa gallica is a species of wild rose native to Europe and western Asia, historically cultivated for its fragrant flowers and use in perfumery and medicine.
|
E937222
|
NE FINISHED |
How this triple was built (4 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: Rosa gallica | Statement: [Rosoideae, containsTaxon, Rosa gallica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosa gallica Context triple: [Rosoideae, containsTaxon, Rosa gallica]
-
A.
Rosier
Rosier is a surname of French origin borne by various notable individuals across different fields.
-
B.
Rosa Gryphus
Rosa Gryphus is a central character in Alexandre Dumas' novel "The Black Tulip," known for her devotion, courage, and pivotal role in aiding the protagonist amid political intrigue.
-
C.
Lippische Rose
Lippische Rose is the German name for the heraldic rose symbol associated with the historic Principality of Lippe in Germany.
-
D.
Rosera
Rosera is a town in the Samastipur district of Bihar, India, known as a local commercial and administrative center.
-
E.
Ranunculus
Ranunculus is a large genus of flowering plants commonly known as buttercups, characterized by their bright, glossy petals and widespread distribution in temperate regions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Rosa gallica Triple: [Rosoideae, containsTaxon, Rosa gallica]
Generated description
Rosa gallica is a species of wild rose native to Europe and western Asia, historically cultivated for its fragrant flowers and use in perfumery and medicine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosa gallica Target entity description: Rosa gallica is a species of wild rose native to Europe and western Asia, historically cultivated for its fragrant flowers and use in perfumery and medicine.
-
A.
Rosier
Rosier is a surname of French origin borne by various notable individuals across different fields.
-
B.
Rosa Gryphus
Rosa Gryphus is a central character in Alexandre Dumas' novel "The Black Tulip," known for her devotion, courage, and pivotal role in aiding the protagonist amid political intrigue.
-
C.
Lippische Rose
Lippische Rose is the German name for the heraldic rose symbol associated with the historic Principality of Lippe in Germany.
-
D.
Rosera
Rosera is a town in the Samastipur district of Bihar, India, known as a local commercial and administrative center.
-
E.
Ranunculus
Ranunculus is a large genus of flowering plants commonly known as buttercups, characterized by their bright, glossy petals and widespread distribution in temperate regions.
- F. None of above. chosen
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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25c0b00819095898d2b2445ecfb |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87c0fe4881908dda9c493d958500 |
completed | April 26, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69eeb31438f88190bab71212293f2d2e |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd715b448190b738479b7c1379a2 |
completed | April 27, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.