Triple
T16855673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrenidae |
E409775
|
entity |
| Predicate | containsGenus |
P9413
|
FINISHED |
| Object |
Protandrena
Protandrena is a genus of small, solitary mining bees known for nesting in the ground and playing a role in pollinating various flowering plants.
|
E1236344
|
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: Protandrena | Statement: [Andrenidae, containsGenus, Protandrena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Protandrena Context triple: [Andrenidae, containsGenus, Protandrena]
-
A.
Davidsoniella
Davidsoniella is a genus of fungi in the family Ceratocystidaceae, known for species that often act as plant pathogens associated with wood and tree diseases.
-
B.
Anthoscopus
Anthoscopus is a genus of very small African passerine birds commonly known as penduline tits, noted for their intricate, woven nests.
-
C.
Meloidodera
Meloidodera is a genus of plant-parasitic nematodes classified within the family Heteroderidae.
-
D.
Anthochaera
Anthochaera is a genus of Australian honeyeaters known for their brush-tipped tongues and nectar-feeding habits.
-
E.
Apterostigma
Apterostigma is a genus of New World fungus-growing ants known for cultivating specialized fungi in underground or concealed nests.
- 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: Protandrena Triple: [Andrenidae, containsGenus, Protandrena]
Generated description
Protandrena is a genus of small, solitary mining bees known for nesting in the ground and playing a role in pollinating various flowering plants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Protandrena Target entity description: Protandrena is a genus of small, solitary mining bees known for nesting in the ground and playing a role in pollinating various flowering plants.
-
A.
Davidsoniella
Davidsoniella is a genus of fungi in the family Ceratocystidaceae, known for species that often act as plant pathogens associated with wood and tree diseases.
-
B.
Anthoscopus
Anthoscopus is a genus of very small African passerine birds commonly known as penduline tits, noted for their intricate, woven nests.
-
C.
Meloidodera
Meloidodera is a genus of plant-parasitic nematodes classified within the family Heteroderidae.
-
D.
Anthochaera
Anthochaera is a genus of Australian honeyeaters known for their brush-tipped tongues and nectar-feeding habits.
-
E.
Apterostigma
Apterostigma is a genus of New World fungus-growing ants known for cultivating specialized fungi in underground or concealed nests.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37d69a08190af18b421066f44f1 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb2337348190ae79dc4b188c94cf |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbe7e4c4819081d0bfd1ac427c49 |
completed | May 10, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc73e4e88190a8327ba48174f923 |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:24 a.m.