Triple
T14932013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burlington International Airport |
E372289
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
BTV
BTV is the three-letter IATA airport code for Burlington International Airport, serving the Burlington, Vermont area in the United States.
|
E1126858
|
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: BTV | Statement: [Burlington International Airport, IATAcode, BTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BTV Context triple: [Burlington International Airport, IATAcode, BTV]
-
A.
BT TV
BT TV is a UK-based subscription television service from BT Group that offers live channels, on-demand content, and streaming apps via broadband.
-
B.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
-
C.
GTV
GTV is a Japanese television network that has broadcast popular anime series such as Demon Slayer: Kimetsu no Yaiba.
-
D.
GTV
GTV is a Philippine free-to-air television network operated by GMA Network Inc., offering a mix of news, entertainment, and sports programming.
-
E.
QTV
QTV was a Philippine television network operated by GMA Network that primarily aired lifestyle, entertainment, and imported programming before being rebranded as GMA News TV.
- 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: BTV Triple: [Burlington International Airport, IATAcode, BTV]
Generated description
BTV is the three-letter IATA airport code for Burlington International Airport, serving the Burlington, Vermont area in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BTV Target entity description: BTV is the three-letter IATA airport code for Burlington International Airport, serving the Burlington, Vermont area in the United States.
-
A.
BT TV
BT TV is a UK-based subscription television service from BT Group that offers live channels, on-demand content, and streaming apps via broadband.
-
B.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
-
C.
GTV
GTV is a Japanese television network that has broadcast popular anime series such as Demon Slayer: Kimetsu no Yaiba.
-
D.
GTV
GTV is a Philippine free-to-air television network operated by GMA Network Inc., offering a mix of news, entertainment, and sports programming.
-
E.
QTV
QTV was a Philippine television network operated by GMA Network that primarily aired lifestyle, entertainment, and imported programming before being rebranded as GMA News TV.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c86b5c81909e601a3fc78276bd |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7360c11481908e2e5127b466e31b |
completed | May 8, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe743c37308190a045ef5f0ade8508 |
completed | May 8, 2026, 11:39 p.m. |
Created at: April 10, 2026, 2:36 a.m.