Triple
T13170164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baton Rouge Metropolitan Airport |
E312954
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KBTR
KBTR is the ICAO airport code for Baton Rouge Metropolitan Airport, a public airport serving Baton Rouge, Louisiana.
|
E1025511
|
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: KBTR | Statement: [Baton Rouge Metropolitan Airport, ICAOcode, KBTR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KBTR Context triple: [Baton Rouge Metropolitan Airport, ICAOcode, KBTR]
-
A.
KBTL
KBTL is the ICAO airport code for W. K. Kellogg Airport, a public aviation facility serving the Battle Creek, Michigan area.
-
B.
KBKL
KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
-
C.
TRT
TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
-
D.
TRT
TRT is the station code for Tartu railway station, the main rail transport hub in the city of Tartu, Estonia.
-
E.
TRT
TRT is the time zone used in Turkey, corresponding to UTC+3.
- 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: KBTR Triple: [Baton Rouge Metropolitan Airport, ICAOcode, KBTR]
Generated description
KBTR is the ICAO airport code for Baton Rouge Metropolitan Airport, a public airport serving Baton Rouge, Louisiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KBTR Target entity description: KBTR is the ICAO airport code for Baton Rouge Metropolitan Airport, a public airport serving Baton Rouge, Louisiana.
-
A.
KBTL
KBTL is the ICAO airport code for W. K. Kellogg Airport, a public aviation facility serving the Battle Creek, Michigan area.
-
B.
KBKL
KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
-
C.
TRT
TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
-
D.
TRT
TRT is the station code for Tartu railway station, the main rail transport hub in the city of Tartu, Estonia.
-
E.
TRT
TRT is the time zone used in Turkey, corresponding to UTC+3.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2e03c481909909b8f10c7e8ffc |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf92c1881909d387dcf50d8d09f |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6f11b77a081909ea2ddedbac5abb8 |
completed | May 3, 2026, 6:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f1b5c67c8190a2216ef32c5420c9 |
completed | May 3, 2026, 6:56 a.m. |
Created at: April 9, 2026, 9:13 p.m.