Triple
T5486848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ribatejo |
E123602
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Rio Maior
Rio Maior is a Portuguese city known for its traditional salt pans and location in the Ribatejo region.
|
E522774
|
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: Rio Maior | Statement: [Ribatejo, hasCity, Rio Maior]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Maior Context triple: [Ribatejo, hasCity, Rio Maior]
-
A.
Viseu
Viseu is a historic inland city in central Portugal known for its well-preserved medieval center, wine production, and cultural heritage.
-
B.
Ribeira Dom João
Ribeira Dom João is a small coastal village located on the island of Maio in Cape Verde, known for its quiet rural character and Atlantic shoreline.
-
C.
Sever do Vouga
Sever do Vouga is a municipality in central Portugal known for its natural landscapes, waterfalls, and rural tourism within the Aveiro District.
-
D.
Zêzere River
The Zêzere River is a major river in central Portugal known for its scenic valleys, hydroelectric dams, and role in feeding the Castelo de Bode Reservoir.
-
E.
Serpa
Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
- 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: Rio Maior Triple: [Ribatejo, hasCity, Rio Maior]
Generated description
Rio Maior is a Portuguese city known for its traditional salt pans and location in the Ribatejo region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rio Maior Target entity description: Rio Maior is a Portuguese city known for its traditional salt pans and location in the Ribatejo region.
-
A.
Viseu
Viseu is a historic inland city in central Portugal known for its well-preserved medieval center, wine production, and cultural heritage.
-
B.
Ribeira Dom João
Ribeira Dom João is a small coastal village located on the island of Maio in Cape Verde, known for its quiet rural character and Atlantic shoreline.
-
C.
Sever do Vouga
Sever do Vouga is a municipality in central Portugal known for its natural landscapes, waterfalls, and rural tourism within the Aveiro District.
-
D.
Zêzere River
The Zêzere River is a major river in central Portugal known for its scenic valleys, hydroelectric dams, and role in feeding the Castelo de Bode Reservoir.
-
E.
Serpa
Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd92639b3481908845c280d334117f |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48aa12708190add69c5fd51d161d |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf4a2b6c508190ad13f6d9823ad747 |
completed | March 22, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4a87d1fc8190a0e0e75d6f9cd766 |
completed | March 22, 2026, 1:48 a.m. |
Created at: March 20, 2026, 2:10 p.m.