Triple
T11657993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telstra |
E277056
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Telstra |
E277056
|
NE 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: Telstra | Statement: [Telstra, brand, Telstra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telstra Context triple: [Telstra, brand, Telstra]
-
A.
Telstra
chosen
Telstra is Australia's largest telecommunications and media company, providing mobile, internet, and other communication services nationwide.
-
B.
Optus
Optus is a major Australian telecommunications company providing mobile, internet, and related communication services nationwide.
-
C.
Telewest
Telewest was a major UK cable television, broadband, and telecommunications provider that later became part of Virgin Media through a merger.
-
D.
NewTel Communications
NewTel Communications was a regional telecommunications company in Atlantic Canada that later became part of Bell Aliant through industry consolidation.
-
E.
Telkom
Telkom is a major South African telecommunications company that provides fixed-line, mobile, and data services across the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef138faf4c81908043c71550048d75 |
completed | April 27, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.