Triple
T9107874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sistema Central |
E218521
|
entity |
| Predicate | extendsInto |
P1673
|
FINISHED |
| Object | Portugal |
E866
|
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: Portugal | Statement: [Sistema Central, extendsInto, Portugal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portugal Context triple: [Sistema Central, extendsInto, Portugal]
-
A.
Portugal
chosen
Portugal is a Southern European country on the Iberian Peninsula, known for its maritime history, Atlantic coastline, and role as one of the world’s earliest global colonial powers.
-
B.
Portogruaro
Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
-
C.
Portugal and Spain
Portugal and Spain are neighboring Iberian countries in southwestern Europe known for their rich maritime histories, distinct Romance languages, and influential cultural and imperial legacies.
-
D.
mainland Portugal
Mainland Portugal is the continental part of the Portuguese Republic in southwestern Europe, comprising the country’s primary territory on the Iberian Peninsula.
-
E.
Portela
Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca573da0081909f4afcdb3ac99c53 |
completed | April 1, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0302bfa00819097e752f1d0581d2d |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.