Triple
T8604436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidigueira |
E203761
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Beja |
E39302
|
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: Beja | Statement: [Vidigueira, borderedBy, Beja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beja Context triple: [Vidigueira, borderedBy, Beja]
-
A.
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.
-
B.
Mértola
Mértola is a historic riverside town and municipality in southeastern Portugal known for its well-preserved medieval architecture and rich Islamic and Roman heritage.
-
C.
Beja District
chosen
Beja District is an administrative district in southern Portugal, known for its vast agricultural plains and the historic city of Beja as its capital.
-
D.
Santarém
Santarém is a historic Portuguese city in the Ribatejo region, known for its Gothic architecture and strategic position overlooking the Tagus River.
-
E.
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.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46dd8ff8819081ef269192047488 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd069faa481908db58399fe8f72f1 |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:24 p.m.