Triple
T11894016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 15–Silver |
E282989
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object | São Mateus |
E946432
|
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: São Mateus | Statement: [Line 15–Silver, station, São Mateus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Mateus Context triple: [Line 15–Silver, station, São Mateus]
-
A.
São Mateus
chosen
São Mateus is a historic coastal city in southeastern Brazil known for its colonial heritage and economic activities in agriculture, petroleum, and port services.
-
B.
Cruz do Espírito Santo
Cruz do Espírito Santo is a municipality in the state of Paraíba in northeastern Brazil, known for its rural character and proximity to the state capital, João Pessoa.
-
C.
Santa Cruz do Sul
Santa Cruz do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage, architecture, and traditions.
-
D.
Vila Velha
Vila Velha is a major coastal city in southeastern Brazil known for its beaches, historic sites, and role as a key urban and economic center in the state of Espírito Santo.
-
E.
Cachoeiro de Itapemirim
Cachoeiro de Itapemirim is a major city in southeastern Brazil known as an important commercial and industrial center, particularly for its marble and granite production.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1172988190a2c13d37220f2f93 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4180569ac81909137d56374e800c0 |
completed | May 1, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:44 p.m.