Triple
T11175726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Air Philippines |
E264406
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
RSL
RSL is the ICAO airline designator assigned to Royal Air Philippines, a regional carrier based in the Philippines.
|
E910496
|
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: RSL | Statement: [Royal Air Philippines, ICAOCode, RSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSL Context triple: [Royal Air Philippines, ICAOCode, 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
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.
RSH
RSH is the National Rail station code for Ramsgreave and Wilpshire railway station in Lancashire, England.
- 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: RSL Triple: [Royal Air Philippines, ICAOCode, RSL]
Generated description
RSL is the ICAO airline designator assigned to Royal Air Philippines, a regional carrier based in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RSL Target entity description: RSL is the ICAO airline designator assigned to Royal Air Philippines, a regional carrier based in the Philippines.
-
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
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.
RSH
RSH is the National Rail station code for Ramsgreave and Wilpshire railway station in Lancashire, England.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4838f19388190af6fde7d4275ce2a |
completed | April 19, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_69e48788be688190a109ccb8281d3dc9 |
completed | April 19, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4890c12388190838d350207492c9e |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.