Triple
T14701828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nangere |
E345321
|
entity |
| Predicate | hasAgriculturalProduct |
P2078
|
FINISHED |
| Object |
Millet
Millet is a group of small-seeded cereal grains widely cultivated for food and fodder, especially in semi-arid regions due to their drought resistance and short growing season.
|
E1115697
|
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: Millet | Statement: [Nangere, hasAgriculturalProduct, Millet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millet Context triple: [Nangere, hasAgriculturalProduct, Millet]
-
A.
Millet
Millet is a common French surname borne by several notable figures, including artists and sculptors.
-
B.
Centeno
Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
-
C.
Emmer
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
-
D.
Buckwheat
Buckwheat is a beloved child character from the classic "Our Gang" (later known as "The Little Rascals") comedy film series, known for his distinctive appearance and humorous personality.
-
E.
Amaranto
Amaranto is the traditional maroon-colored nickname associated with Italian football club Reggina 1914 and its supporters.
- 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: Millet Triple: [Nangere, hasAgriculturalProduct, Millet]
Generated description
Millet is a group of small-seeded cereal grains widely cultivated for food and fodder, especially in semi-arid regions due to their drought resistance and short growing season.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Millet Target entity description: Millet is a group of small-seeded cereal grains widely cultivated for food and fodder, especially in semi-arid regions due to their drought resistance and short growing season.
-
A.
Millet
Millet is a common French surname borne by several notable figures, including artists and sculptors.
-
B.
Centeno
Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
-
C.
Emmer
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
-
D.
Buckwheat
Buckwheat is a beloved child character from the classic "Our Gang" (later known as "The Little Rascals") comedy film series, known for his distinctive appearance and humorous personality.
-
E.
Amaranto
Amaranto is the traditional maroon-colored nickname associated with Italian football club Reggina 1914 and its supporters.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0861c308190af0b5da403ecb321 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf368782c8190825247435eab2045 |
completed | May 8, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf3fe50ac8190ad5529427472eda3 |
completed | May 8, 2026, 2:32 p.m. |
Created at: April 10, 2026, 1:28 a.m.