Triple
T3937788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqua |
E90955
|
entity |
| Predicate | instrument |
P792
|
FINISHED |
| Object |
AIRS
AIRS (Atmospheric Infrared Sounder) is a satellite instrument on NASA’s Aqua spacecraft that measures Earth’s atmospheric temperature, humidity, and trace gases using infrared spectroscopy.
|
E400692
|
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: AIRS | Statement: [Aqua, instrument, AIRS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIRS Context triple: [Aqua, instrument, AIRS]
-
A.
AirSWIFT
AirSWIFT is a Philippine regional airline known for operating domestic flights that connect Manila to popular island destinations such as El Nido and other tourist hubs.
-
B.
AirWair
AirWair is the distinctive air-cushioned sole technology and branding used in Dr. Martens footwear, known for its comfort and durability.
-
C.
Ais
The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
-
D.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
E.
AER
AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
- 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: AIRS Triple: [Aqua, instrument, AIRS]
Generated description
AIRS (Atmospheric Infrared Sounder) is a satellite instrument on NASA’s Aqua spacecraft that measures Earth’s atmospheric temperature, humidity, and trace gases using infrared spectroscopy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AIRS Target entity description: AIRS (Atmospheric Infrared Sounder) is a satellite instrument on NASA’s Aqua spacecraft that measures Earth’s atmospheric temperature, humidity, and trace gases using infrared spectroscopy.
-
A.
AirSWIFT
AirSWIFT is a Philippine regional airline known for operating domestic flights that connect Manila to popular island destinations such as El Nido and other tourist hubs.
-
B.
AirWair
AirWair is the distinctive air-cushioned sole technology and branding used in Dr. Martens footwear, known for its comfort and durability.
-
C.
Ais
The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
-
D.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
E.
AER
AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcfd7d48190bbacee8b5b1b5070 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b528922a548190a8e5339deacaefd9 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b5298d7be08190adb4a23edb716ce6 |
completed | March 14, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52de8756c81909d03188bdc29ee88 |
completed | March 14, 2026, 9:44 a.m. |
Created at: March 9, 2026, 3:24 p.m.