Triple
T16145871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Daytona Beach |
E391777
|
entity |
| Predicate | UNLOCODE |
P1800
|
FINISHED |
| Object | US DAB |
E424819
|
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: US DAB | Statement: [City of Daytona Beach, UNLOCODE, US DAB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US DAB Context triple: [City of Daytona Beach, UNLOCODE, US DAB]
-
A.
DAB+ digital radio
DAB+ digital radio is an upgraded digital broadcasting standard that delivers more radio stations with improved audio quality and efficient spectrum use compared to traditional FM and earlier DAB systems.
-
B.
DAB
DAB is a senior-level U.S. Department of Defense committee that reviews and approves major defense acquisition programs and policies.
-
C.
DAB
chosen
DAB is the three-letter IATA airport code for Daytona Beach International Airport in Daytona Beach, Florida.
-
D.
DAB
DAB is the commonly used abbreviation for the Faculty of Design, Architecture and Building at the University of Technology Sydney, known for its programs in creative and built environment disciplines.
-
E.
US
US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9376fc8190bd9ef586b00c1d3b |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a59c0481908eb346efaf10a0f6 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.