Triple
T14376390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O2 mobile network |
E356484
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | EE |
E363312
|
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: EE | Statement: [O2 mobile network, hasCompetitor, EE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EE Context triple: [O2 mobile network, hasCompetitor, EE]
-
A.
EE
chosen
EE is a major British mobile network operator and internet service provider known for its extensive 4G and 5G coverage across the UK.
-
B.
EE
The EE was a former New York City Subway service that operated on the BMT Broadway Line, primarily providing local service in Manhattan and Queens before being discontinued.
-
C.
EE
EE is the two-letter country code for Estonia, a Northern European nation on the Baltic Sea.
-
D.
EEE
EEE is the internal BBC production code assigned to the Doctor Who serial "Terror of the Autons."
-
E.
EEE
EEE is the School of Electrical and Electronic Engineering at Nanyang Technological University, a leading institution for education and research in electrical and electronic engineering.
- 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.