Triple
T14521724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شلن صومالي |
E340667
|
entity |
| Predicate | تاريخ_الإصدار_الأولي |
P51515
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [شلن صومالي, تاريخ_الإصدار_الأولي, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاريخ_الإصدار_الأولي Context triple: [شلن صومالي, تاريخ_الإصدار_الأولي, 1962]
-
A.
firstVersionYear
chosen
Indicates the calendar year in which the first version or initial release of something was created, published, or made available.
-
B.
firstShortReleaseDate
Indicates the earliest (first) date on which a short version or short-format release of something became publicly available.
-
C.
initialReleaseApprox
Indicates that an entity’s first release or debut occurred around an estimated or approximate point in time rather than on a precisely known date.
-
D.
firstCompleteVersionPremiereDate
Indicates the date on which the first complete version of a work was premiered or publicly presented.
-
E.
originallyReleasedOn
Indicates the date or platform on which something (such as a work, product, or media item) was first made publicly available.
- F. None of above.
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_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. |
Created at: April 10, 2026, 1:22 a.m.