Triple
T14376409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O2 |
E356485
|
entity |
| Predicate | brandOwner |
P347
|
FINISHED |
| Object | Telefónica |
E356486
|
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: Telefónica | Statement: [O2, brandOwner, Telefónica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telefónica Context triple: [O2, brandOwner, Telefónica]
-
A.
Telefónica S.A.
chosen
Telefónica S.A. is a major Spanish multinational telecommunications company that provides mobile, fixed-line, and broadband services across Europe and Latin America.
-
B.
Telefónica UK
Telefónica UK is a major British telecommunications company best known for operating the O2 mobile network and providing mobile, broadband, and related digital services across the United Kingdom.
-
C.
América Móvil
América Móvil is a Mexican telecommunications giant and one of the largest mobile network operators in Latin America, controlled by billionaire Carlos Slim.
-
D.
Deutsche Telekom
Deutsche Telekom is a major German telecommunications company and one of the largest telecom providers in Europe, offering mobile, fixed-line, and internet services worldwide.
-
E.
Telmex
Telmex is a major Mexican telecommunications company that provides telephone, internet, and related services across Mexico and parts of Latin America.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900949fc81909be0da1734c46645 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551002948190aeb93d245e1449a7 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.