Triple
T33810517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdulaziz |
E866517
|
entity |
| Predicate | shortFormVariant |
P118797
|
FINISHED |
| Object | Aziz |
—
|
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: Aziz | Statement: [Abdulaziz, shortFormVariant, Aziz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortFormVariant Context triple: [Abdulaziz, shortFormVariant, Aziz]
-
A.
shortFormType
Indicates that one entity is a shortened, abbreviated, or otherwise condensed form or variant of another entity.
-
B.
shortFormat
Indicates that something is presented in a condensed or abbreviated form compared to its full or standard representation.
-
C.
shortFormLanguage
Indicates that one entity is a shortened or abbreviated language representation or code corresponding to another language entity.
-
D.
shortDesignation
Indicates that one entity serves as a brief or abbreviated designation (such as a short name, code, or label) for another entity.
-
E.
isShortenedVariantOf
chosen
Indicates that one form of an expression is a shortened or abbreviated version of another, longer form.
- 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_69f349911a8c81908478662194b23d8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:46 a.m.