Triple
T14521739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شلن صومالي |
E340667
|
entity |
| Predicate | الفئة_الاسمية_الشائعة_للأوراق |
P114574
|
FINISHED |
| Object | 1000 شلن |
—
|
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: 1000 شلن | Statement: [شلن صومالي, الفئة_الاسمية_الشائعة_للأوراق, 1000 شلن]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الفئة_الاسمية_الشائعة_للأوراق Context triple: [شلن صومالي, الفئة_الاسمية_الشائعة_للأوراق, 1000 شلن]
-
A.
leafType
Indicates the specific kind or classification of leaf associated with an entity.
-
B.
typicalLeafCharacteristic
Indicates the usual or defining features of a leaf that characterize it under normal conditions.
-
C.
typeOfLeaflets
Indicates the specific kind or category of leaflets associated with an entity.
-
D.
leaves
Indicates that an entity departs from or goes away from another entity, location, or situation.
-
E.
leafColor
Indicates the color or coloration characteristics of a leaf in relation to a plant or plant part.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a72cff08190878b4bed9b0b5eb5 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:22 a.m.