Triple
T9632854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RPL programming language |
E232847
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
User RPL
User RPL is a high-level, user-oriented variant of the RPL programming language used primarily for programming Hewlett-Packard graphing calculators.
|
E812229
|
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: User RPL | Statement: [RPL programming language, hasVariant, User RPL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: User RPL Context triple: [RPL programming language, hasVariant, User RPL]
-
A.
RPL
RPL is the top professional football (soccer) league in Russia, featuring the country’s highest-level clubs in national competition.
-
B.
RPL
RPL is the standard legal citation abbreviation used to refer to New York’s Real Property Law.
-
C.
RPLC
RPLC is the ICAO airport code for Clark International Airport, a major aviation hub in the Philippines located on the site of the former U.S. Clark Air Base.
-
D.
Usery
Usery is a surname most notably associated with William J. Usery Jr., a prominent American labor union activist and U.S. Secretary of Labor.
-
E.
Userkare
Userkare was a short-reigning pharaoh of Egypt’s Sixth Dynasty, known primarily from sparse archaeological and textual evidence that leaves many details of his rule uncertain.
- 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: User RPL Triple: [RPL programming language, hasVariant, User RPL]
Generated description
User RPL is a high-level, user-oriented variant of the RPL programming language used primarily for programming Hewlett-Packard graphing calculators.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: User RPL Target entity description: User RPL is a high-level, user-oriented variant of the RPL programming language used primarily for programming Hewlett-Packard graphing calculators.
-
A.
RPL
RPL is the top professional football (soccer) league in Russia, featuring the country’s highest-level clubs in national competition.
-
B.
RPL
RPL is the standard legal citation abbreviation used to refer to New York’s Real Property Law.
-
C.
RPLC
RPLC is the ICAO airport code for Clark International Airport, a major aviation hub in the Philippines located on the site of the former U.S. Clark Air Base.
-
D.
Usery
Usery is a surname most notably associated with William J. Usery Jr., a prominent American labor union activist and U.S. Secretary of Labor.
-
E.
Userkare
Userkare was a short-reigning pharaoh of Egypt’s Sixth Dynasty, known primarily from sparse archaeological and textual evidence that leaves many details of his rule uncertain.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b2783b48190a9929dc3e3cd2956 |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18232e34c8190a19685ee9210e88b |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d18324756c819089eb7edc107ed8b2 |
completed | April 4, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1856b88908190a787765e1d8f001f |
completed | April 4, 2026, 9:40 p.m. |
Created at: March 30, 2026, 8:11 p.m.