Triple
T1937469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VZ |
E41474
|
entity |
| Predicate | issuerName |
P29
|
FINISHED |
| Object | Verizon Communications Inc. |
E6433
|
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: Verizon Communications Inc. | Statement: [VZ, issuerName, Verizon Communications Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verizon Communications Inc. Context triple: [VZ, issuerName, Verizon Communications Inc.]
-
A.
Verizon
chosen
Verizon is a major American telecommunications company providing wireless, internet, and related communication services across the United States and globally.
-
B.
Sprint Corporation
Sprint Corporation was a major American telecommunications company that provided wireless and wireline services nationwide before merging with T-Mobile US.
-
C.
AT&T
AT&T is a major American telecommunications conglomerate known for providing wireless, internet, and media services nationwide.
-
D.
T-Mobile US
T-Mobile US is a major American wireless network operator known for its nationwide mobile phone services and aggressive “Un-carrier” marketing strategy.
-
E.
Lucent Technologies
Lucent Technologies was a major American telecommunications equipment company, spun off from AT&T, known for its Bell Labs research arm and contributions to networking and communications technology.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c752fc81909baf38ff1cdeb18c |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26feafb08190a4e7152ec2b4fcba |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 4, 2026, 7:36 p.m.