Triple
T8548751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poaceae |
E202392
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Oryza sativa |
E39749
|
NE FINISHED |
How this triple was built (2 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: Oryza sativa | Statement: [Poaceae, includes, Oryza sativa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oryza sativa Context triple: [Poaceae, includes, Oryza sativa]
-
A.
Oryza sativa
chosen
Oryza sativa is the domesticated Asian rice species that serves as a staple food crop for over half of the world’s population.
-
B.
Oryza
Oryza is a genus of grasses that includes the cultivated rice species central to human nutrition and agriculture worldwide.
-
C.
Glycine max
Glycine max is the cultivated soybean plant, a major legume crop grown worldwide for its protein- and oil-rich seeds used in food, feed, and industrial products.
-
D.
Rice
Rice is a common English surname borne by various notable individuals across politics, sports, and entertainment.
-
E.
Zea mays
Zea mays is the domesticated cereal crop commonly known as maize or corn, widely cultivated worldwide for food, feed, and industrial uses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69cbe7529b648190b4b1cf1cb8836546 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8924e3348190b7c8911e574d1cd0 |
completed | April 2, 2026, 3:20 p.m. |
Created at: March 30, 2026, 6:19 p.m.