Triple
T23401183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dabiq magazine |
E559507
|
entity |
| Predicate | lastIssuePublicationDate |
P41101
|
FINISHED |
| Object | 2016-07 |
—
|
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: 2016-07 | Statement: [Dabiq magazine, lastIssuePublicationDate, 2016-07]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastIssuePublicationDate Context triple: [Dabiq magazine, lastIssuePublicationDate, 2016-07]
-
A.
lastEditionDate
Indicates the date on which the most recent edition or version of an item was created, published, or last updated.
-
B.
finalPublicationDate
Indicates the date on which a work is officially and definitively published in its final form.
-
C.
lastEdition
Indicates that one entity is the most recent or final edition/version within a series or sequence of editions.
-
D.
lastYearOfRegularIssue
Indicates the final year in which something was issued or produced on a regular, standard, or non-special basis.
-
E.
lastPublicationYear
chosen
Indicates the year in which an entity’s most recent publication was released.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dfa4c881908df0eced4855c0d9 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.