Triple
T9028996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Telephone & Electronics Corporation |
E216119
|
entity |
| Predicate | hadSubsidiary |
P9212
|
FINISHED |
| Object | GTE Mobilnet |
E256486
|
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: GTE Mobilnet | Statement: [General Telephone & Electronics Corporation, hadSubsidiary, GTE Mobilnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GTE Mobilnet Context triple: [General Telephone & Electronics Corporation, hadSubsidiary, GTE Mobilnet]
-
A.
Telico
Telico is a small unincorporated community located in Ellis County, Texas.
-
B.
Globe Telecom
Globe Telecom is a major Philippine telecommunications company that provides mobile, internet, and other digital communication services nationwide.
-
C.
Telenor
Telenor is a major Norwegian telecommunications company that provides mobile, broadband, and digital services across Scandinavia and multiple international markets.
-
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.
Alltel
chosen
Alltel was a major American wireless telecommunications company that provided mobile phone services across numerous U.S. states before being largely acquired by Verizon Wireless.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a9bcb508190b58751f1772407d4 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbc289648190834031537c8ce130 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:08 p.m.