Triple
T3710146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North County Transit District |
E80989
|
entity |
| Predicate | busBrand |
P19188
|
FINISHED |
| Object | BREEZE |
E381792
|
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: BREEZE | Statement: [North County Transit District, busBrand, BREEZE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BREEZE Context triple: [North County Transit District, busBrand, BREEZE]
-
A.
BREEZE
chosen
BREEZE is a local bus service in northern San Diego County, California, operated by the North County Transit District.
-
B.
Breeze
Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
-
C.
Sea Breeze
Sea Breeze is a classic vodka-based cocktail typically made with cranberry and grapefruit juices, known for its light, refreshing taste.
-
D.
Seabreeze
Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
-
E.
Breath
"Breath" is a short, minimalist stage piece by Samuel Beckett, known for its wordless depiction of existence through a brief cry, a single inhalation and exhalation, and shifting light on a heap of rubbish.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc584b86c8190ba1a1073da440b07 |
completed | March 8, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db06e8e481908d1f026ce647a6a5 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:33 p.m.