Triple
T23363283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIM |
E593241
|
entity |
| Predicate | hasFormFactor |
P9336
|
FINISHED |
| Object |
Micro-SIM
Micro-SIM is a smaller, standardized version of the SIM card used in mobile devices to securely store subscriber identity and network credentials.
|
E1583040
|
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: Micro-SIM | Statement: [SIM, hasFormFactor, Micro-SIM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Micro-SIM Context triple: [SIM, hasFormFactor, Micro-SIM]
-
A.
microSD
microSD is a compact, removable flash memory card format widely used to expand storage in mobile phones, cameras, and other portable electronic devices.
-
B.
iSIM
iSIM is an integrated SIM technology that embeds subscriber identity functionality directly into a device’s main chipset, offering a more compact and power-efficient alternative to traditional SIM and eSIM solutions.
-
C.
Memory Stick Micro (M2)
Memory Stick Micro (M2) is a compact, high-density flash memory card format developed by Sony for use in mobile phones and other portable electronic devices.
-
D.
SIM32
SIM32 is a New York City express bus route that provides commuter service between Staten Island and Manhattan.
-
E.
SIM30
SIM30 is a New York City express bus route that provides commuter service between Staten Island and Manhattan.
- 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: Micro-SIM Triple: [SIM, hasFormFactor, Micro-SIM]
Generated description
Micro-SIM is a smaller, standardized version of the SIM card used in mobile devices to securely store subscriber identity and network credentials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Micro-SIM Target entity description: Micro-SIM is a smaller, standardized version of the SIM card used in mobile devices to securely store subscriber identity and network credentials.
-
A.
microSD
microSD is a compact, removable flash memory card format widely used to expand storage in mobile phones, cameras, and other portable electronic devices.
-
B.
iSIM
iSIM is an integrated SIM technology that embeds subscriber identity functionality directly into a device’s main chipset, offering a more compact and power-efficient alternative to traditional SIM and eSIM solutions.
-
C.
Memory Stick Micro (M2)
Memory Stick Micro (M2) is a compact, high-density flash memory card format developed by Sony for use in mobile phones and other portable electronic devices.
-
D.
SIM32
SIM32 is a New York City express bus route that provides commuter service between Staten Island and Manhattan.
-
E.
SIM30
SIM30 is a New York City express bus route that provides commuter service between Staten Island and Manhattan.
- 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, 5:31 p.m.