Triple
T23363218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UICC |
E593240
|
entity |
| Predicate | supportsApplication |
P15794
|
FINISHED |
| Object |
CSIM
CSIM is a CDMA Subscriber Identity Module application used on UICC cards to securely store subscriber credentials and enable CDMA network services.
|
E1583038
|
NE FINISHED |
How this triple was built (4 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: CSIM | Statement: [UICC, supportsApplication, CSIM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSIM Context triple: [UICC, supportsApplication, CSIM]
-
A.
ISIM
ISIM is the Integrated Science Instrument Module of the James Webb Space Telescope, housing and supporting its primary scientific instruments for observing the universe.
-
B.
OASIS simulation software
OASIS simulation software is the vast, immersive virtual reality universe central to Ernest Cline’s novel *Ready Player One*, created by the character James Halliday.
-
C.
SPIM
SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
-
D.
CIMAS
CIMAS is a research institute that partners with NOAA and universities to conduct scientific studies on marine and atmospheric environments, climate, and weather.
-
E.
COSIC
COSIC is a renowned research group at KU Leuven specializing in cryptography, information security, and privacy-enhancing technologies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CSIM Triple: [UICC, supportsApplication, CSIM]
Generated description
CSIM is a CDMA Subscriber Identity Module application used on UICC cards to securely store subscriber credentials and enable CDMA network services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CSIM Target entity description: CSIM is a CDMA Subscriber Identity Module application used on UICC cards to securely store subscriber credentials and enable CDMA network services.
-
A.
ISIM
ISIM is the Integrated Science Instrument Module of the James Webb Space Telescope, housing and supporting its primary scientific instruments for observing the universe.
-
B.
OASIS simulation software
OASIS simulation software is the vast, immersive virtual reality universe central to Ernest Cline’s novel *Ready Player One*, created by the character James Halliday.
-
C.
SPIM
SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
-
D.
CIMAS
CIMAS is a research institute that partners with NOAA and universities to conduct scientific studies on marine and atmospheric environments, climate, and weather.
-
E.
COSIC
COSIC is a renowned research group at KU Leuven specializing in cryptography, information security, and privacy-enhancing technologies.
- F. None of above. chosen
Provenance (5 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aa0ed88190b0198cbfd1bcc59b |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd78f508190b3b83e4cc2625163 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c60473de0819096d3b4e35da16295 |
completed | May 19, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c60b52fe88190854803902df750c5 |
completed | May 19, 2026, 1:08 p.m. |
Created at: April 17, 2026, 5:30 p.m.