Triple
T9929954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balmaceda Airport |
E192620
|
entity |
| Predicate | pushpinLabel |
P9248
|
FINISHED |
| Object | BBA |
E829257
|
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: BBA | Statement: [Balmaceda Airport, pushpinLabel, BBA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBA Context triple: [Balmaceda Airport, pushpinLabel, BBA]
-
A.
BBA
BBA is an undergraduate Bachelor of Business Administration degree program focused on foundational and applied business education.
-
B.
BBA
BBA is an Indian child-rights organization founded by Nobel laureate Kailash Satyarthi, known for its campaigns against child labor and trafficking.
-
C.
BBA
chosen
BBA is the IATA airport code for Balmaceda Airport, a regional airport serving the Aysén Region in southern Chile.
-
D.
MBA
The MBA is a prestigious graduate-level business degree designed to develop advanced leadership, management, and analytical skills for careers in business and related fields.
-
E.
MBA
MBA is the three-letter IATA airport code assigned to Moi International Airport in Mombasa, Kenya.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b215c481909e0bca43f158bd82 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228cab0fc81908ff5fad6916c1bab |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:43 p.m.