Triple
T8548827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehrhartoideae |
E202393
|
entity |
| Predicate | includesTaxon |
P1393
|
FINISHED |
| Object |
Leersia
Leersia is a genus of grasses commonly known as cutgrasses, found in wet habitats worldwide and related to rice.
|
E741367
|
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: Leersia | Statement: [Ehrhartoideae, includesTaxon, Leersia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leersia Context triple: [Ehrhartoideae, includesTaxon, Leersia]
-
A.
Pipturus
Pipturus is a genus of flowering plants in the nettle order known for its shrubby species, some of which produce fibrous bark and small edible fruits.
-
B.
Phragmacia
Phragmacia is a genus of small insectivorous passerine birds in the warbler family Sylviidae.
-
C.
Aphananthe
Aphananthe is a small genus of flowering trees and shrubs known for their hard wood and occurrence in warm temperate to tropical regions.
-
D.
Decaisnea
Decaisnea is a small genus of deciduous shrubs or small trees known for their unusual, fleshy, often blue pod-like fruits and is native to regions of East and South Asia.
-
E.
Tetrastigma
Tetrastigma is a genus of tropical and subtropical climbing plants in the grape family, best known as the primary host for the parasitic Rafflesia flowers.
- 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: Leersia Triple: [Ehrhartoideae, includesTaxon, Leersia]
Generated description
Leersia is a genus of grasses commonly known as cutgrasses, found in wet habitats worldwide and related to rice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leersia Target entity description: Leersia is a genus of grasses commonly known as cutgrasses, found in wet habitats worldwide and related to rice.
-
A.
Pipturus
Pipturus is a genus of flowering plants in the nettle order known for its shrubby species, some of which produce fibrous bark and small edible fruits.
-
B.
Phragmacia
Phragmacia is a genus of small insectivorous passerine birds in the warbler family Sylviidae.
-
C.
Aphananthe
Aphananthe is a small genus of flowering trees and shrubs known for their hard wood and occurrence in warm temperate to tropical regions.
-
D.
Decaisnea
Decaisnea is a small genus of deciduous shrubs or small trees known for their unusual, fleshy, often blue pod-like fruits and is native to regions of East and South Asia.
-
E.
Tetrastigma
Tetrastigma is a genus of tropical and subtropical climbing plants in the grape family, best known as the primary host for the parasitic Rafflesia flowers.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe753d3608190b0573477182cf194 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dc1bb5481909ddd3af564c24c0c |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:19 p.m.