Triple
T8548767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poaceae |
E202392
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
Triticum durum
Triticum durum is a hard wheat species primarily used to make pasta, couscous, and other semolina-based products.
|
E743213
|
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: Triticum durum | Statement: [Poaceae, includes, Triticum durum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triticum durum Context triple: [Poaceae, includes, Triticum durum]
-
A.
Triticum aestivum
Triticum aestivum is the common bread wheat, a major cereal crop globally cultivated for its grain used in flour and numerous food products.
-
B.
Secale cereale
Secale cereale, commonly known as rye, is a cereal grain cultivated for food, animal feed, and as a cover crop, especially in cooler climates.
-
C.
Emmer
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
-
D.
Barley
Barley is a small rural village in the North Hertfordshire district of England, known for its historic buildings and traditional English countryside setting.
-
E.
Millet
Millet is a common French surname borne by several notable figures, including artists and sculptors.
- 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: Triticum durum Triple: [Poaceae, includes, Triticum durum]
Generated description
Triticum durum is a hard wheat species primarily used to make pasta, couscous, and other semolina-based products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Triticum durum Target entity description: Triticum durum is a hard wheat species primarily used to make pasta, couscous, and other semolina-based products.
-
A.
Triticum aestivum
Triticum aestivum is the common bread wheat, a major cereal crop globally cultivated for its grain used in flour and numerous food products.
-
B.
Secale cereale
Secale cereale, commonly known as rye, is a cereal grain cultivated for food, animal feed, and as a cover crop, especially in cooler climates.
-
C.
Emmer
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
-
D.
Barley
Barley is a small rural village in the North Hertfordshire district of England, known for its historic buildings and traditional English countryside setting.
-
E.
Millet
Millet is a common French surname borne by several notable figures, including artists and sculptors.
- 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_69ce8924e3348190b7c8911e574d1cd0 |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8a9ba0448190ae7637f24b8a8032 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8bda33548190a8f6985a48d65a39 |
completed | April 2, 2026, 3:31 p.m. |
Created at: March 30, 2026, 6:19 p.m.