Triple
T10168113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSER |
E235257
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Generic String Encoding Rules |
E564767
|
NE FINISHED |
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: Generic String Encoding Rules | Statement: [GSER, fullName, Generic String Encoding Rules]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Generic String Encoding Rules Context triple: [GSER, fullName, Generic String Encoding Rules]
-
A.
Encoding Standard
The Encoding Standard is a WHATWG specification that defines how text is encoded and decoded on the web to ensure consistent character handling across browsers and platforms.
-
B.
Scott encoding
Scott encoding is a method in lambda calculus for representing algebraic data types and their pattern matching behavior using higher-order functions.
-
C.
Specific Area Message Encoding
Specific Area Message Encoding (SAME) is a digital protocol used in U.S. emergency alerting systems to target warnings to specific geographic areas and types of hazards.
-
D.
Unicode text processing algorithms
chosen
Unicode text processing algorithms are standardized procedures that define how Unicode text is compared, sorted, segmented, normalized, and otherwise manipulated consistently across different systems and languages.
-
E.
Speaking in Strings
Speaking in Strings is a documentary film that explores the life, artistry, and emotional intensity of virtuoso violinist Nadia Salerno-Sonnenberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6f64a48190883aefce58a65ca6 |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300ebacb88190850cf2242309b6ba |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.