Triple
T14376462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telefónica S.A. |
E356486
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Vivo |
E1072758
|
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: Vivo | Statement: [Telefónica S.A., brand, Vivo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivo Context triple: [Telefónica S.A., brand, Vivo]
-
A.
Vivo
Vivo is an animated musical film produced by Sony Pictures Animation that follows a music-loving kinkajou on a heartfelt adventure to deliver a song.
-
B.
Vivo
chosen
Vivo is a Chinese smartphone manufacturer that has served as a major title sponsor of the Indian Premier League (IPL), boosting its brand visibility across India.
-
C.
Xiaomi
Xiaomi is a major Chinese electronics and smartphone manufacturer known for its affordable, feature-rich devices and rapidly growing global presence.
-
D.
Huawei Nova
Huawei Nova is a mid-range Android smartphone from Huawei’s Nova lineup, known for its stylish design and solid camera performance.
-
E.
Visso
Visso is a historic village in the Umbria region of central Italy, known for its medieval architecture and location within the scenic Valnerina valley.
- 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_69fd4c5514688190be90776c8764d4f3 |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:16 a.m.