Triple
T15880997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solid-State Imaging camera |
E385073
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SSI
SSI is a solid-state imaging camera system that captures digital images using electronic sensors instead of traditional photographic film.
|
E1181516
|
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: SSI | Statement: [Solid-State Imaging camera, abbreviation, SSI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSI Context triple: [Solid-State Imaging camera, abbreviation, SSI]
-
A.
SSI
SSI is a U.S. federal income-support program that provides monthly cash assistance to low-income individuals who are aged, blind, or disabled.
-
B.
SSI
SSI is the standard abbreviation for a Staff Sergeant Instructor, a senior non-commissioned officer role responsible for training and supervising military personnel.
-
C.
SI
SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
-
D.
SI
SI is the post-nominal abbreviation used to denote recipients of Pakistan’s Sitara-e-Imtiaz, one of the country’s highest civilian honors.
-
E.
SI
SI is the two-letter ISO 3166-1 alpha-2 country code for Slovenia, a Central European nation known for its mountains, lakes, and membership in the European Union.
- 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: SSI Triple: [Solid-State Imaging camera, abbreviation, SSI]
Generated description
SSI is a solid-state imaging camera system that captures digital images using electronic sensors instead of traditional photographic film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SSI Target entity description: SSI is a solid-state imaging camera system that captures digital images using electronic sensors instead of traditional photographic film.
-
A.
SSI
SSI is a U.S. federal income-support program that provides monthly cash assistance to low-income individuals who are aged, blind, or disabled.
-
B.
SSI
SSI is the standard abbreviation for a Staff Sergeant Instructor, a senior non-commissioned officer role responsible for training and supervising military personnel.
-
C.
SI
SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
-
D.
SI
SI is the post-nominal abbreviation used to denote recipients of Pakistan’s Sitara-e-Imtiaz, one of the country’s highest civilian honors.
-
E.
SI
SI is the vehicle registration code used on license plates for the German city of Siegen.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156160a208190b30da2426411ee98 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95466e08190a967114821651e60 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa4fd9688190ba44555bd40f6442 |
completed | May 9, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab2fdd1c81909439f11ff798c168 |
completed | May 9, 2026, 9:46 p.m. |
Created at: April 10, 2026, 4:51 a.m.