Triple
T10887709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solomon Airlines |
E257091
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SOL
SOL is the ICAO airline designator assigned to Solomon Airlines, the national carrier of the Solomon Islands.
|
E892101
|
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: SOL | Statement: [Solomon Airlines, ICAOcode, SOL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SOL Context triple: [Solomon Airlines, ICAOcode, SOL]
-
A.
SolO
SolO is the European Space Agency’s Solar Orbiter spacecraft designed to study the Sun up close, including its poles and heliosphere, to better understand solar activity and its effects on the solar system.
-
B.
Solu
Solu is a subregion of Nepal’s Solukhumbu District, known as the lower, more accessible part of the Everest area with traditional Sherpa villages and trekking routes.
-
C.
Sol
Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
-
D.
Sol
Sol is a major central square and transport hub in Madrid, Spain, known as one of the city's busiest public spaces and a symbolic heart of the capital.
-
E.
Sol
Sol is a Mexican-style pale lager beer brand known for its light, refreshing taste and wide international distribution.
- 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: SOL Triple: [Solomon Airlines, ICAOcode, SOL]
Generated description
SOL is the ICAO airline designator assigned to Solomon Airlines, the national carrier of the Solomon Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SOL Target entity description: SOL is the ICAO airline designator assigned to Solomon Airlines, the national carrier of the Solomon Islands.
-
A.
SolO
SolO is the European Space Agency’s Solar Orbiter spacecraft designed to study the Sun up close, including its poles and heliosphere, to better understand solar activity and its effects on the solar system.
-
B.
Solu
Solu is a subregion of Nepal’s Solukhumbu District, known as the lower, more accessible part of the Everest area with traditional Sherpa villages and trekking routes.
-
C.
Sol
Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
-
D.
Sol
Sol is a major central square and transport hub in Madrid, Spain, known as one of the city's busiest public spaces and a symbolic heart of the capital.
-
E.
Sol
Sol is a Mexican-style pale lager beer brand known for its light, refreshing taste and wide international distribution.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75201e6888190a2bc41a17784eec3 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154e49ab08190b522b5361ac65c01 |
completed | April 16, 2026, 9:30 p.m. |
| NEDg | Description generation | batch_69e17d3060888190b3801272835b939a |
completed | April 17, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1806bc1048190bcbff6f6d3d7da19 |
completed | April 17, 2026, 12:35 a.m. |
Created at: April 8, 2026, 9:21 p.m.