Triple
T2295231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singapore Airlines |
E51597
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SIA
SIA is the ICAO airline designator used to identify Singapore Airlines in international aviation operations and communications.
|
E253610
|
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: SIA | Statement: [Singapore Airlines, ICAOcode, SIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIA Context triple: [Singapore Airlines, ICAOcode, SIA]
-
A.
Sia
Sia is an Australian singer-songwriter and pop artist known for her powerful vocals, emotive songwriting, and distinctive visual style featuring face-obscuring wigs.
-
B.
SIAC
SIAC is a collegiate athletic conference in the United States composed primarily of historically Black colleges and universities competing in NCAA Division II sports.
-
C.
SAM
SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
-
D.
Sac
Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
-
E.
Sis
Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
- 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: SIA Triple: [Singapore Airlines, ICAOcode, SIA]
Generated description
SIA is the ICAO airline designator used to identify Singapore Airlines in international aviation operations and communications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SIA Target entity description: SIA is the ICAO airline designator used to identify Singapore Airlines in international aviation operations and communications.
-
A.
Sia
Sia is an Australian singer-songwriter and pop artist known for her powerful vocals, emotive songwriting, and distinctive visual style featuring face-obscuring wigs.
-
B.
SIAC
SIAC is a collegiate athletic conference in the United States composed primarily of historically Black colleges and universities competing in NCAA Division II sports.
-
C.
SAM
SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
-
D.
Sac
Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
-
E.
Sis
Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5dc40f881908a3dcc518bbead55 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f2654e4819090dea196cf38652e |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae7fd6e8608190b48f3a50ee62d664 |
completed | March 9, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae804b402c81909a5fc68c6ee3decb |
completed | March 9, 2026, 8:09 a.m. |
Created at: March 4, 2026, 7:49 p.m.