Triple
T14199883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mafra, Santa Catarina, Brazil |
E351934
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | BR-280 |
E943294
|
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: BR-280 | Statement: [Mafra, Santa Catarina, Brazil, roadConnection, BR-280]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BR-280 Context triple: [Mafra, Santa Catarina, Brazil, roadConnection, BR-280]
-
A.
BR-230
BR-230 is a major Brazilian federal highway, known as the Trans-Amazonian Highway, that crosses several states in the north and northeast of Brazil.
-
B.
BR-267
BR-267 is a federal highway in Brazil that connects several cities across multiple states in the southeastern region of the country.
-
C.
BR-280 highway
chosen
BR-280 highway is a major federal road in southern Brazil that links coastal cities in Santa Catarina to inland regions, supporting regional commerce and transportation.
-
D.
BR-235 highway
BR-235 highway is a major Brazilian federal road that traverses the country’s Northeast and North regions, linking coastal cities like Aracaju to inland states and agricultural areas.
-
E.
BR-27
BR-27 is the vehicle registration code assigned to the Nawada district in the Indian state of Bihar.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f472548190a1a7edc40526eac3 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd280aaa1c8190a957dfc2c624e3f6 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:04 a.m.