Triple
T1788286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silves |
E39437
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Armação de Pêra |
E150033
|
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: Armação de Pêra | Statement: [Silves, hasParish, Armação de Pêra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armação de Pêra Context triple: [Silves, hasParish, Armação de Pêra]
-
A.
Armação de Pêra
chosen
Armação de Pêra is a coastal resort town in Portugal’s Algarve region, known for its sandy beaches and tourism.
-
B.
Vila do Bispo
Vila do Bispo is a small coastal municipality in Portugal’s Algarve region, known for its rugged Atlantic cliffs, beaches, and proximity to the southwestern tip of mainland Europe.
-
C.
Portalegre
Portalegre is a historic city in eastern Portugal known for its medieval architecture, hilltop setting near the São Mamede mountains, and traditional Alentejo culture.
-
D.
Santiago do Cacém
Santiago do Cacém is a historic municipality in Portugal’s Alentejo region, known for its medieval castle, Roman ruins at Miróbriga, and rural landscapes.
-
E.
Praia da Luz
Praia da Luz is a popular seaside resort village in Portugal’s Algarve region, known for its sandy beach, cliffs, and tourist-oriented waterfront.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650fd3448190a6a2c979db982cae |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3bef0648190a7fd6ae38b41038e |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:32 p.m.