Triple
T13787364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDFI |
E331297
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object | KDFW |
E1296
|
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: KDFW | Statement: [KDFI, sisterStation, KDFW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KDFW Context triple: [KDFI, sisterStation, KDFW]
-
A.
KDFW
KDFW is the ICAO code for Dallas/Fort Worth International Airport, a major U.S. air transport hub serving the Dallas–Fort Worth metropolitan area in Texas.
-
B.
KRDU
KRDU is the ICAO airport code for Raleigh–Durham International Airport, a major commercial airport serving North Carolina’s Research Triangle region.
-
C.
KDEN
KDEN is the ICAO airport code for Denver International Airport, a major U.S. air hub located in Denver, Colorado.
-
D.
KRLD-TV
chosen
KRLD-TV is a Dallas–Fort Worth television station historically known for its local news coverage and role in reporting major events such as the assassination of President John F. Kennedy.
-
E.
KRDG
KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07d872c81908f912263d8f7c80d |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.