Triple
T5480419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCS |
E123453
|
entity |
| Predicate | standardizedBy |
P1371
|
FINISHED |
| Object | GSMA |
E356772
|
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: GSMA | Statement: [RCS, standardizedBy, GSMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GSMA Context triple: [RCS, standardizedBy, GSMA]
-
A.
GSMA
chosen
GSMA is a global industry organization that represents mobile network operators and develops standards and initiatives for the mobile telecommunications ecosystem.
-
B.
3GPP
3GPP is an international standards organization that develops technical specifications for mobile telecommunications technologies, including 3G, 4G LTE, and 5G.
-
C.
Telecommunications Technology Association
The Telecommunications Technology Association is a South Korean standards organization that develops and promotes technical standards for the telecommunications and ICT industries.
-
D.
GSM
GSM is the common abbreviation for Great St Mary’s Church, the historic University Church located in the center of Cambridge, England.
-
E.
GSM
GSM is a second-generation (2G) digital mobile communication standard that became the global foundation for cellular voice and basic data services.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9248ca348190aa116cace0f9b07a |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c7a61848190970a4e34696791eb |
completed | March 22, 2026, 4:13 a.m. |
Created at: March 20, 2026, 2:09 p.m.