Triple
T32582666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of the German-speaking Community of Belgium |
E832830
|
entity |
| Predicate | flowerSpecies |
P174619
|
FINISHED |
| Object | gentian |
—
|
LITERAL 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: gentian | Statement: [Coat of arms of the German-speaking Community of Belgium, flowerSpecies, gentian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowerSpecies Context triple: [Coat of arms of the German-speaking Community of Belgium, flowerSpecies, gentian]
-
A.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
B.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
C.
plantFamily
Indicates that one entity belongs to, or is classified within, the botanical family represented by the other entity.
-
D.
plantGenus
Indicates that one entity is a biological genus to which the plant entity belongs.
-
E.
floweringPlantGroup
Indicates that the subject belongs to, or is classified within, a particular group or category of flowering plants.
- 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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c66b3190819099566cd27a999b77 |
completed | May 3, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2c138481908afa3ee3e91f8900 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c2df27ec8190912ec8eb488836d0 |
completed | May 3, 2026, 3:37 a.m. |
Created at: May 1, 2026, 1:04 a.m.