Triple
T5774085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santarém |
E127396
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ribatejo |
E123602
|
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: Ribatejo | Statement: [Santarém, locatedIn, Ribatejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ribatejo Context triple: [Santarém, locatedIn, Ribatejo]
-
A.
Ribatejo
chosen
Ribatejo is a historical province in central Portugal known for its fertile plains, agriculture, and traditional bullfighting culture.
-
B.
Moncalvo
Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
-
C.
Báguanos
Báguanos is a municipality in eastern Cuba located in the province of Holguín, known for its agricultural activities and rural communities.
-
D.
Tabasalu
Tabasalu is a small town in northern Estonia that serves as the main local hub for the surrounding Harku Parish near the capital, Tallinn.
-
E.
Bassignana
Bassignana is a municipality in the Piedmont region of northern Italy, situated near the confluence of the Tanaro and Po rivers.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029af681081908276e99c568561ce |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09809cfcc8190b4d55db4b74316c7 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:50 p.m.