Triple
T16615109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSL Giles St Aubyn Awards for Non-Fiction |
E403676
|
entity |
| Predicate | administeredBy |
P86
|
FINISHED |
| Object | RSL |
E403673
|
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: RSL | Statement: [RSL Giles St Aubyn Awards for Non-Fiction, administeredBy, RSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSL Context triple: [RSL Giles St Aubyn Awards for Non-Fiction, administeredBy, RSL]
-
A.
RSL
RSL is the commonly used acronym for the Russian Superleague, a former top-tier professional ice hockey league in Russia.
-
B.
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.
-
C.
RSL
chosen
RSL is the commonly used abbreviation for the Royal Society of Literature, a prestigious UK organization dedicated to the advancement of literature.
-
D.
RSL
RSL is the commonly used abbreviation for Real Salt Lake, a professional Major League Soccer club based in Utah.
-
E.
RSL
RSL is the ICAO airline designator assigned to Royal Air Philippines, a regional carrier based in the Philippines.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3609935a88190baa56f3a42b2ecd1 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dad10ec8190b41d82b38fcd4dae |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.