Triple
T10753138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singapore–New York (ultra-long-haul) |
E253620
|
entity |
| Predicate | servedByFlightNumber |
P67178
|
FINISHED |
| Object |
SQ22
SQ22 is Singapore Airlines’ flagship ultra-long-haul nonstop flight operating between Singapore and New York.
|
E884064
|
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: SQ22 | Statement: [Singapore–New York (ultra-long-haul), servedByFlightNumber, SQ22]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SQ22 Context triple: [Singapore–New York (ultra-long-haul), servedByFlightNumber, SQ22]
-
A.
S-220
S-220 is the hull number of NOAA Ship Fairweather, a National Oceanic and Atmospheric Administration vessel primarily used for hydrographic surveying and seafloor mapping.
-
B.
SQ3
SQ3 is a designated quadrant within the Southern Cross region, used for organizing and referencing a specific area of the sky.
-
C.
S 222
S 222 is the hull number of NOAA Ship Thomas Jefferson, a National Oceanic and Atmospheric Administration vessel used primarily for hydrographic surveying and seafloor mapping.
-
D.
S200
S200 is a pair of large solid rocket boosters used on India's GSLV Mk III heavy-lift launch vehicle to provide its initial thrust at liftoff.
-
E.
SQQ
SQQ is the IATA airport code for Šiauliai International Airport, a joint civil-military airfield in Šiauliai, Lithuania.
- 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: SQ22 Triple: [Singapore–New York (ultra-long-haul), servedByFlightNumber, SQ22]
Generated description
SQ22 is Singapore Airlines’ flagship ultra-long-haul nonstop flight operating between Singapore and New York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SQ22 Target entity description: SQ22 is Singapore Airlines’ flagship ultra-long-haul nonstop flight operating between Singapore and New York.
-
A.
S-220
S-220 is the hull number of NOAA Ship Fairweather, a National Oceanic and Atmospheric Administration vessel primarily used for hydrographic surveying and seafloor mapping.
-
B.
SQ3
SQ3 is a designated quadrant within the Southern Cross region, used for organizing and referencing a specific area of the sky.
-
C.
S 222
S 222 is the hull number of NOAA Ship Thomas Jefferson, a National Oceanic and Atmospheric Administration vessel used primarily for hydrographic surveying and seafloor mapping.
-
D.
S200
S200 is a pair of large solid rocket boosters used on India's GSLV Mk III heavy-lift launch vehicle to provide its initial thrust at liftoff.
-
E.
SQQ
SQQ is the IATA airport code for Šiauliai International Airport, a joint civil-military airfield in Šiauliai, Lithuania.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc2543c8190bb060aa7a1fed6a6 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de2338b2cc8190ad40ff9a421a4152 |
completed | April 14, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:15 p.m.