Triple
T10249262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asparagales |
E240297
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object | Asparagus |
E821257
|
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: Asparagus | Statement: [Asparagales, includesGenus, Asparagus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asparagus Context triple: [Asparagales, includesGenus, Asparagus]
-
A.
Asparagus
chosen
Asparagus is a genus of perennial flowering plants best known for the edible vegetable asparagus spears commonly used in cuisines worldwide.
-
B.
Asparros
Asparros was a military commander known for leading forces in the Battle of Pamplona.
-
C.
Chard
Chard is a historic market town in Somerset, England, often noted for its claim as the birthplace of powered flight and as one of the county’s southernmost towns.
-
D.
Broccoli
Broccoli is an edible green plant in the cabbage family, widely consumed as a nutritious vegetable rich in vitamins, fiber, and antioxidants.
-
E.
Leek
Leek is a historic market town in Staffordshire, England, known for its textile heritage and picturesque location near the Peak District.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23c4cd88190b99e65a074b68d6b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7b66c6881908b432fbdd5ecf11e |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:28 a.m.