Triple
T16354137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بین الخدماتی مخابرات |
E397128
|
entity |
| Predicate | abbreviationScript |
P123091
|
FINISHED |
| Object | لاطینی |
—
|
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: لاطینی | Statement: [بین الخدماتی مخابرات, abbreviationScript, لاطینی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationScript Context triple: [بین الخدماتی مخابرات, abbreviationScript, لاطینی]
-
A.
abbreviation
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
B.
abbreviationOrShortForm
Indicates that one term is an abbreviation or shortened form of another term.
-
C.
abbreviationUsedFor
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
-
D.
abbreviationStyle
Indicates the specific way in which something is abbreviated, such as the format, punctuation, or capitalization used in its shortened form.
-
E.
abbreviationLength
Indicates that the relationship specifies or measures the length (number of characters) of an abbreviation associated with an entity.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facd80dc8190b08f0eecbf787240 |
completed | April 18, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:07 a.m.