Triple
T8796986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LATAM Brasil |
E209312
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
JJ
JJ is the IATA airline code for LATAM Airlines Brasil, a major Brazilian carrier within the LATAM Airlines Group.
|
E759593
|
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: JJ | Statement: [LATAM Brasil, IATACode, JJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JJ Context triple: [LATAM Brasil, IATACode, JJ]
-
A.
JI
JI is the IATA airline designator assigned to Meraj Airlines, an Iranian passenger carrier.
-
B.
J
J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
-
C.
J
J is one of the passenger concourses at Miami International Airport, serving as a terminal area with gates, amenities, and airline operations for departing and arriving flights.
-
D.
J
J is the streetwise, impulsive teenage grandson in the TV series "Animal Kingdom," who becomes entangled in his criminal family's operations.
-
E.
JD
The JD (Juris Doctor) is a professional graduate law degree that qualifies individuals to practice law in many jurisdictions.
- 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: JJ Triple: [LATAM Brasil, IATACode, JJ]
Generated description
JJ is the IATA airline code for LATAM Airlines Brasil, a major Brazilian carrier within the LATAM Airlines Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JJ Target entity description: JJ is the IATA airline code for LATAM Airlines Brasil, a major Brazilian carrier within the LATAM Airlines Group.
-
A.
JI
JI is the IATA airline designator assigned to Meraj Airlines, an Iranian passenger carrier.
-
B.
J
J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
-
C.
J
J is one of the passenger concourses at Miami International Airport, serving as a terminal area with gates, amenities, and airline operations for departing and arriving flights.
-
D.
J
J is the streetwise, impulsive teenage grandson in the TV series "Animal Kingdom," who becomes entangled in his criminal family's operations.
-
E.
JD
The JD (Juris Doctor) is a professional graduate law degree that qualifies individuals to practice law in many jurisdictions.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa370d08190885ef65e3a3e56d3 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f5d655881909013ac3e2ac0cebb |
completed | April 3, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69cf71c118848190a937ecf714556ef3 |
completed | April 3, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf744b17e88190b14607e6dff823a3 |
completed | April 3, 2026, 8:03 a.m. |
Created at: March 30, 2026, 6:44 p.m.