Triple
T1995551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douro River |
E43349
|
entity |
| Predicate | cityOnRiver |
P165
|
FINISHED |
| Object |
Peso da Régua
Peso da Régua is a Portuguese city in the Douro Valley known as a key hub for the region’s famous port wine production and river tourism.
|
E223727
|
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: Peso da Régua | Statement: [Douro River, cityOnRiver, Peso da Régua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peso da Régua Context triple: [Douro River, cityOnRiver, Peso da Régua]
-
A.
Tianguá
Tianguá is a municipality in northeastern Brazil known for its location in the highlands of the state of Ceará and its role as a regional commercial and agricultural center.
-
B.
Massa
Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
-
C.
Guapimirim
Guapimirim is a municipality in the state of Rio de Janeiro, Brazil, known for its mountainous landscapes and protected natural areas near Guanabara Bay.
-
D.
Coruripe
Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
-
E.
Icó
Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within the state of Ceará.
- 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: Peso da Régua Triple: [Douro River, cityOnRiver, Peso da Régua]
Generated description
Peso da Régua is a Portuguese city in the Douro Valley known as a key hub for the region’s famous port wine production and river tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peso da Régua Target entity description: Peso da Régua is a Portuguese city in the Douro Valley known as a key hub for the region’s famous port wine production and river tourism.
-
A.
Tianguá
Tianguá is a municipality in northeastern Brazil known for its location in the highlands of the state of Ceará and its role as a regional commercial and agricultural center.
-
B.
Massa
Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
-
C.
Guapimirim
Guapimirim is a municipality in the state of Rio de Janeiro, Brazil, known for its mountainous landscapes and protected natural areas near Guanabara Bay.
-
D.
Coruripe
Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
-
E.
Icó
Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within the state of Ceará.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86537748190a2b5e3fd44ac6430 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033c6cf88190acf6418f0d784914 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03c4faac8190a13aa0882eda3629 |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0445a9608190918a7bd45b9bf999 |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:37 p.m.