Triple
T22794132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goiânia |
E564193
|
entity |
| Predicate | roadNetwork |
P385
|
FINISHED |
| Object |
served by BR-457
BR-457 is a federal highway in Brazil that connects the city of Goiânia to other regions within the country’s road network.
|
E1555961
|
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: served by BR-457 | Statement: [Goiânia, roadNetwork, served by BR-457]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: served by BR-457 Context triple: [Goiânia, roadNetwork, served by BR-457]
-
A.
BR-27
BR-27 is the vehicle registration code assigned to the Nawada district in the Indian state of Bihar.
-
B.
BR-277
BR-277 is a major Brazilian federal highway in Paraná state that links the inland region to the western border city of Foz do Iguaçu and the Iguaçu Falls area.
-
C.
BR-267
BR-267 is a federal highway in Brazil that connects several cities across multiple states in the southeastern region of the country.
-
D.
BR-040 highway
BR-040 highway is a major Brazilian federal road that links Rio de Janeiro to Brasília and extends toward the state of Minas Gerais, serving as a key corridor for passenger and freight transport.
-
E.
BR-10
BR-10 is the vehicle registration code assigned to the Bhagalpur district in the Indian state of Bihar.
- 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: served by BR-457 Triple: [Goiânia, roadNetwork, served by BR-457]
Generated description
BR-457 is a federal highway in Brazil that connects the city of Goiânia to other regions within the country’s road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: served by BR-457 Target entity description: BR-457 is a federal highway in Brazil that connects the city of Goiânia to other regions within the country’s road network.
-
A.
BR-27
BR-27 is the vehicle registration code assigned to the Nawada district in the Indian state of Bihar.
-
B.
BR-277
BR-277 is a major Brazilian federal highway in Paraná state that links the inland region to the western border city of Foz do Iguaçu and the Iguaçu Falls area.
-
C.
BR-267
BR-267 is a federal highway in Brazil that connects several cities across multiple states in the southeastern region of the country.
-
D.
BR-040 highway
BR-040 highway is a major Brazilian federal road that links Rio de Janeiro to Brasília and extends toward the state of Minas Gerais, serving as a key corridor for passenger and freight transport.
-
E.
BR-10
BR-10 is the vehicle registration code assigned to the Bhagalpur district in the Indian state of Bihar.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd81794819091b528600e322d7b |
completed | April 29, 2026, 3:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e93d1588190a221906ce5a4d834 |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba2ab22848190a11ebb3514d416f4 |
completed | May 18, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba33d87248190ad15c4c72c671fec |
completed | May 18, 2026, 11:39 p.m. |
Created at: April 17, 2026, 3:30 p.m.