Triple
T13857242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stored Communications Act |
E333097
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SCA
The SCA is a U.S. federal law that governs the privacy, access, and disclosure of stored electronic communications and related data held by service providers.
|
E333097
|
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: SCA | Statement: [Stored Communications Act, abbreviation, SCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCA Context triple: [Stored Communications Act, abbreviation, SCA]
-
A.
SCA
SCA is the National Rail station code for Scarborough railway station in North Yorkshire, England.
-
B.
SCA
SCA is a software composition analysis solution that identifies and manages vulnerabilities and license risks in open-source components used within applications.
-
C.
SCA
SCA is the common abbreviation for the Service Contract Act, a U.S. federal law that sets wage and benefit standards for employees working on government service contracts.
-
D.
SCA
SCA is the abbreviation for the Special Committee on Agriculture, a key preparatory body within the Council of the European Union that handles agricultural policy issues.
-
E.
SCA
The SCA is South Africa’s highest court of appeal for non-constitutional matters, based in Bloemfontein.
- 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: SCA Triple: [Stored Communications Act, abbreviation, SCA]
Generated description
The SCA is a U.S. federal law that governs the privacy, access, and disclosure of stored electronic communications and related data held by service providers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SCA Target entity description: The SCA is a U.S. federal law that governs the privacy, access, and disclosure of stored electronic communications and related data held by service providers.
-
A.
SCA
chosen
SCA is a U.S. federal law that governs the privacy and disclosure of stored electronic communications and related data held by service providers.
-
B.
SCA
SCA is the common abbreviation for the Service Contract Act, a U.S. federal law that sets wage and benefit standards for employees working on government service contracts.
-
C.
SCA
SCA is a software composition analysis solution that identifies and manages vulnerabilities and license risks in open-source components used within applications.
-
D.
SCA
SCA is the abbreviation for the Special Committee on Agriculture, a key preparatory body within the Council of the European Union that handles agricultural policy issues.
-
E.
SCA
SCA is the commonly used abbreviation for Hay’at Qanāt as-Suways, the authority responsible for managing and operating Egypt’s Suez Canal.
- F. None of above.
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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0fb7c3c819081fc6f89aa17d6af |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c2c711948190ac614291592a7e03 |
completed | May 3, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c36f28b48190b734a9e5e7ae39b9 |
completed | May 3, 2026, 9:51 p.m. |
Created at: April 9, 2026, 10:14 p.m.