Triple
T6073642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Togniniales |
E135344
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Togninia
Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
|
E566537
|
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: Togninia | Statement: [Togniniales, hasMember, Togninia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Togninia Context triple: [Togniniales, hasMember, Togninia]
-
A.
Toffia
Toffia is a small historic hilltop town in the Lazio region of central Italy, known for its medieval architecture and scenic countryside setting.
-
B.
Tognana
Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
C.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
D.
Tirico
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
E.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
- 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: Togninia Triple: [Togniniales, hasMember, Togninia]
Generated description
Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Togninia Target entity description: Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
-
A.
Toffia
Toffia is a small historic hilltop town in the Lazio region of central Italy, known for its medieval architecture and scenic countryside setting.
-
B.
Tognana
Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
C.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
D.
Tirico
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
E.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575b9bc08190a78b3082b9ccf00c |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d3fb99481909cc31c179eb4e8c9 |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11e89c75481908381df126a7b1661 |
completed | March 23, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ef6971c8190b8dde5568b330b41 |
completed | March 23, 2026, 11:07 a.m. |
Created at: March 22, 2026, 4:11 p.m.