Triple
T17521319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forth |
E426683
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | RPL |
—
|
NE NERFINISHED |
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: RPL | Statement: [Forth, influenced, RPL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RPL Context triple: [Forth, influenced, 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.
RPL programming language
chosen
RPL is a stack-based, reverse Polish Lisp-like programming language developed by Hewlett-Packard for its graphing calculators, combining features of RPN and structured programming.
-
E.
RPTA
RPTA is a regional public transportation authority responsible for planning, operating, and coordinating transit services within a specific geographic area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.