Triple
T36225689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flora Aegyptiaco-Arabica |
E1047976
|
entity |
| Predicate | placeOfPreparation |
P194878
|
FINISHED |
| Object | Copenhagen |
—
|
NE NERFINISHED |
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: Copenhagen | Statement: [Flora Aegyptiaco-Arabica, placeOfPreparation, Copenhagen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfPreparation Context triple: [Flora Aegyptiaco-Arabica, placeOfPreparation, Copenhagen]
-
A.
typeOfPreparation
Indicates the method or process by which something is prepared or made ready for use, consumption, or further action.
-
B.
preparesFoodFor
Indicates that one entity makes or cooks food intended to be eaten by another entity.
-
C.
typicalPreparation
Indicates the usual or standard way in which something is prepared or made.
-
D.
recommendedPreparation
Indicates that one entity is suggested or advised as a suitable preparation or prerequisite for engaging with another entity.
-
E.
preparationBy
Indicates that one entity is created, assembled, or made ready through the actions or processes performed by another entity.
- F. None of above. chosen
Provenance (4 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_69fd8ccaee848190acd59d7d643ad062 |
completed | May 8, 2026, 7:12 a.m. |
Created at: May 3, 2026, 4:09 p.m.