Triple
T12620929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar system |
E301375
|
entity |
| Predicate | derivedLanguageFrom |
P89065
|
FINISHED |
| Object | Mesa language |
E987504
|
NE FINISHED |
How this triple was built (3 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: Mesa language | Statement: [Cedar system, derivedLanguageFrom, Mesa language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mesa language Context triple: [Cedar system, derivedLanguageFrom, Mesa language]
-
A.
Mesa (programming language)
chosen
Mesa is a pioneering systems programming language developed at Xerox PARC in the 1970s, notable for its strong typing, modularity, and influence on later languages and operating system design.
-
B.
Mara language
The Mara language is a Kuki-Chin language spoken primarily by the Mara people in parts of northeastern India and western Myanmar.
-
C.
Metal Shading Language
Metal Shading Language is Apple’s C++-like GPU programming language used to write high-performance graphics and compute shaders for the Metal framework on iOS, macOS, and related platforms.
-
D.
Mono language
Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
-
E.
Mojo language
Mojo language is an endangered Papuan language spoken in parts of Papua New Guinea, known primarily from limited linguistic documentation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivedLanguageFrom Context triple: [Cedar system, derivedLanguageFrom, Mesa language]
-
A.
derivedFromLanguageFamily
Indicates that one language originates from, or historically descends from, a particular language family.
-
B.
derivationLanguage
Indicates the language from which something (such as a word, term, or expression) is derived.
-
C.
derivedFrom
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
D.
linguisticDescendant
chosen
Indicates that one language is historically derived from, or has evolved out of, another language.
-
E.
hasLanguageOfOrigin
Indicates that one entity has its origin or source in the language specified by another entity.
- F. None of above.
Provenance (4 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686d770881909850ffaf820171d9 |
completed | May 2, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:13 p.m.