Triple
T5486842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ribatejo |
E123602
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Santarém |
E127396
|
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: Santarém | Statement: [Ribatejo, hasCity, Santarém]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santarém Context triple: [Ribatejo, hasCity, Santarém]
-
A.
Santarém
Santarém is a Brazilian city in the state of Pará, known for its location at the confluence of the Amazon and Tapajós rivers and its striking “meeting of the waters” phenomenon.
-
B.
Santarém
chosen
Santarém is a historic Portuguese city in the Ribatejo region, known for its Gothic architecture and strategic position overlooking the Tagus River.
-
C.
Beja
The Beja are a traditionally pastoralist Cushitic-speaking ethnic group of northeastern Africa, primarily inhabiting the Red Sea coastal and desert regions of Sudan and neighboring countries.
-
D.
Porto dos Casais
Porto dos Casais was the original colonial settlement that later developed into the Brazilian city of Porto Alegre.
-
E.
Figueira da Foz
Figueira da Foz is a coastal Portuguese city at the mouth of the Mondego River, known for its wide sandy beaches and seaside tourism.
- 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_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_69bf6c812d4c8190a22f76b787ab0f10 |
completed | March 22, 2026, 4:13 a.m. |
Created at: March 20, 2026, 2:10 p.m.