Triple
T2357972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSJ |
E47201
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | RSJ |
E47201
|
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: RSJ | Statement: [RSJ, abbreviation, RSJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSJ Context triple: [RSJ, abbreviation, RSJ]
-
A.
RSJ
chosen
RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
-
B.
RS
RS is a sporty, performance-oriented trim level of the Chevrolet Trailblazer that features distinctive styling and upgraded features.
-
C.
RJ
RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
-
D.
RSL
RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
-
E.
RSL
RSL is the commonly used acronym for the Russian Superleague, a former top-tier professional ice hockey league in Russia.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc71f767481908dfa9be209ea3c5a |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9638ef948190adf945aba42fac76 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:55 p.m.