Triple
T21192589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xi (crossy) LTE service |
E522247
|
entity |
| Predicate | providedBy |
P67
|
FINISHED |
| Object | NTT DoCoMo |
—
|
NE NERFINISHED |
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: NTT DoCoMo | Statement: [Xi (crossy) LTE service, providedBy, NTT DoCoMo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NTT DoCoMo Context triple: [Xi (crossy) LTE service, providedBy, NTT DoCoMo]
-
A.
NTT DoCoMo
chosen
NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
-
B.
Rakuten Mobile
Rakuten Mobile is a Japanese mobile network operator and telecommunications brand owned by the e-commerce company Rakuten, known for its low-cost, fully virtualized mobile network services.
-
C.
Tokyo Tsushin Kogyo
Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
-
D.
KDDI
KDDI is a major Japanese telecommunications company that provides mobile, broadband, and other communication services domestically and internationally.
-
E.
NTT
NTT is a major Japanese telecommunications and technology services company known for its global IT solutions and network infrastructure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73338dbe881908360dedad65c964b |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:07 p.m.