Triple
T14884707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telecom |
E350090
|
entity |
| Predicate | Xtra |
P116198
|
FINISHED |
| Object | internet service provider brand of Telecom |
—
|
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: internet service provider brand of Telecom | Statement: [Telecom, Xtra, internet service provider brand of Telecom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Xtra Context triple: [Telecom, Xtra, internet service provider brand of Telecom]
-
A.
يكسو
Indicates covering or clothing something or someone with a layer, garment, or surface.
-
B.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
C.
MacMeans
Indicates that one entity serves as the meaning, definition, or semantic interpretation of another entity.
-
D.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
E.
له طابع
Indicates that something possesses or exhibits a particular character, style, or distinctive quality.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5f4598081908735e8d7dfce8074 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4c76e481909c0aa8d1a978e8d5 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:56 a.m.