Triple
T4161913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solanaceae |
E91550
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object |
Nolana
Nolana is a genus of flowering plants native mainly to coastal regions of South America, known for their showy, often blue, funnel-shaped blossoms.
|
E416643
|
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: Nolana | Statement: [Solanaceae, includesGenus, Nolana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nolana Context triple: [Solanaceae, includesGenus, Nolana]
-
A.
Errana
Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
-
B.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
C.
Kuanua
Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
-
D.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
E.
Nespolo
Nespolo is a small Italian municipality located in the Lazio region, known for its rural character and scenic Apennine surroundings.
- 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: Nolana Triple: [Solanaceae, includesGenus, Nolana]
Generated description
Nolana is a genus of flowering plants native mainly to coastal regions of South America, known for their showy, often blue, funnel-shaped blossoms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nolana Target entity description: Nolana is a genus of flowering plants native mainly to coastal regions of South America, known for their showy, often blue, funnel-shaped blossoms.
-
A.
Errana
Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
-
B.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
C.
Kuanua
Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
-
D.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
E.
Nespolo
Nespolo is a small Italian municipality located in the Lazio region, known for its rural character and scenic Apennine surroundings.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f456bf88190b9b8678476ac3803 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57fe89ed0819089d7e56568755b1c |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5805cb7e88190b2f6ed6a18de9319 |
completed | March 14, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:44 p.m.