Triple
T11702303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blumenau |
E278154
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
BLU
BLU is the vehicle registration code used on license plates for the city of Blumenau in the state of Santa Catarina, Brazil.
|
E941709
|
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: BLU | Statement: [Blumenau, vehicleRegistrationCode, BLU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BLU Context triple: [Blumenau, vehicleRegistrationCode, BLU]
-
A.
BLU
BLU is the three-letter abbreviation used for the Auckland Blues, a professional rugby union team based in Auckland, New Zealand.
-
B.
BLU-116
BLU-116 is an advanced U.S. bunker-buster bomb warhead designed to penetrate hardened, deeply buried targets with improved performance over earlier models.
-
C.
Breeze Mobile
Breeze Mobile is a mobile ticketing and payment app used by the Metropolitan Atlanta Rapid Transit Authority (MARTA) for accessing public transit services in the Atlanta area.
-
D.
Blu
Blu is a popular electronic cigarette and vaping brand known for its range of rechargeable and disposable e-cigarette products.
-
E.
Blu
Blu is a domesticated Spix's macaw who serves as the timid yet brave protagonist of the animated Rio film series.
- 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: BLU Triple: [Blumenau, vehicleRegistrationCode, BLU]
Generated description
BLU is the vehicle registration code used on license plates for the city of Blumenau in the state of Santa Catarina, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BLU Target entity description: BLU is the vehicle registration code used on license plates for the city of Blumenau in the state of Santa Catarina, Brazil.
-
A.
BLU
BLU is the three-letter abbreviation used for the Auckland Blues, a professional rugby union team based in Auckland, New Zealand.
-
B.
BLU-116
BLU-116 is an advanced U.S. bunker-buster bomb warhead designed to penetrate hardened, deeply buried targets with improved performance over earlier models.
-
C.
Breeze Mobile
Breeze Mobile is a mobile ticketing and payment app used by the Metropolitan Atlanta Rapid Transit Authority (MARTA) for accessing public transit services in the Atlanta area.
-
D.
Blu
Blu is a popular electronic cigarette and vaping brand known for its range of rechargeable and disposable e-cigarette products.
-
E.
Blu
Blu is a domesticated Spix's macaw who serves as the timid yet brave protagonist of the animated Rio film series.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef834244308190b435e49371d6a6e1 |
completed | April 27, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_69ef9b673120819097b542bb9a8f8bdb |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd683366881909dd9621e7c57d0be |
completed | April 27, 2026, 9:34 p.m. |
Created at: April 8, 2026, 9:40 p.m.