Triple
T10752698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singapore Changi Airport |
E253611
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | WSSS |
E418864
|
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: WSSS | Statement: [Singapore Changi Airport, ICAOcode, WSSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WSSS Context triple: [Singapore Changi Airport, ICAOcode, WSSS]
-
A.
WSSS
chosen
WSSS is the ICAO airport code for Singapore Changi Airport, one of the world’s busiest and most highly rated international air hubs.
-
B.
HSSS
HSSS is the ICAO airport code for Khartoum International Airport, the main international gateway to Sudan’s capital city.
-
C.
ZSSS
ZSSS is the ICAO airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub in Shanghai, China.
-
D.
WSW
WSW is the commonly used abbreviation for World Space Week, an annual international celebration of science and technology and their contribution to the betterment of the human condition.
-
E.
SWW
SWW is the common abbreviation for the Schwenninger Wild Wings, a professional ice hockey team based in Schwenningen, Germany.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbdb897f7c81909002f2478613eff8 |
completed | April 12, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:15 p.m.