Triple
T10294747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equair |
E241454
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
EQAIR
EQAIR is the callsign of Equair, an Ecuadorian airline that operated domestic and regional passenger flights.
|
E855944
|
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: EQAIR | Statement: [Equair, callsign, EQAIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EQAIR Context triple: [Equair, callsign, EQAIR]
-
A.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
B.
AirWair
AirWair is the distinctive air-cushioned sole technology and branding used in Dr. Martens footwear, known for its comfort and durability.
-
C.
AirEase
AirEase is a residential and light commercial heating and cooling equipment brand owned by Lennox International, known for its HVAC systems such as furnaces, air conditioners, and heat pumps.
-
D.
EQA
EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
-
E.
Bionaire
Bionaire is a home-environment appliance brand known for products like air purifiers, humidifiers, and heaters focused on improving indoor air quality and comfort.
- 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: EQAIR Triple: [Equair, callsign, EQAIR]
Generated description
EQAIR is the callsign of Equair, an Ecuadorian airline that operated domestic and regional passenger flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EQAIR Target entity description: EQAIR is the callsign of Equair, an Ecuadorian airline that operated domestic and regional passenger flights.
-
A.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
B.
AirWair
AirWair is the distinctive air-cushioned sole technology and branding used in Dr. Martens footwear, known for its comfort and durability.
-
C.
AirEase
AirEase is a residential and light commercial heating and cooling equipment brand owned by Lennox International, known for its HVAC systems such as furnaces, air conditioners, and heat pumps.
-
D.
EQA
EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
-
E.
Bionaire
Bionaire is a home-environment appliance brand known for products like air purifiers, humidifiers, and heaters focused on improving indoor air quality and comfort.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d5e0f88190be3e23ba2511a1e9 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d23f49081909aea149c6b219354 |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d73182d7548190ac15093aa7001db7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7336c06308190ac72154134a26842 |
completed | April 9, 2026, 5:04 a.m. |
Created at: April 6, 2026, 11:42 a.m.