Triple
T23218005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TS 31-series |
E580803
|
entity |
| Predicate | focusesOn |
P31
|
FINISHED |
| Object | UICC |
—
|
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: UICC | Statement: [TS 31-series, focusesOn, UICC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UICC Context triple: [TS 31-series, focusesOn, UICC]
-
A.
UICC
chosen
The UICC (Universal Integrated Circuit Card) is a secure smart card platform used in mobile devices to host applications like SIM, USIM, and other network access and security services.
-
B.
CTIIC
CTIIC is a U.S. government center responsible for integrating, analyzing, and coordinating cyber threat intelligence across federal agencies.
-
C.
BICC
BICC (Bearer Independent Call Control) is a signaling protocol used in telecommunications networks to set up and manage voice and multimedia calls independently of the underlying transport technology.
-
D.
ICSU
ICSU (International Council for Science) was a global non-governmental organization that coordinated international scientific activity and promoted collaboration across disciplines and countries.
-
E.
USIM
USIM is a Malaysian public university that integrates Islamic values with modern scientific and professional education.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916653f08190a7dcbc659c6b6a25 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.