Triple
T1788288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silves |
E39437
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
São Marcos da Serra
São Marcos da Serra is a rural civil parish in the municipality of Silves in Portugal’s Algarve region, known for its hilly landscape and traditional village character.
|
E199151
|
NE FINISHED |
How this triple was built (4 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: São Marcos da Serra | Statement: [Silves, hasParish, São Marcos da Serra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Marcos da Serra Context triple: [Silves, hasParish, São Marcos da Serra]
-
A.
Santo Amaro
Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
-
B.
Parnamirim
Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
-
C.
Caucaia
Caucaia is a coastal municipality in northeastern Brazil known for its beaches and proximity to the state capital, Fortaleza.
-
D.
São José do Ribamar
São José do Ribamar is a neighborhood of Recife, Brazil, known as part of the city’s urban coastal area in the state of Pernambuco.
-
E.
Espinheiro
Espinheiro is a central neighborhood in Recife, Brazil, known for its residential areas, commerce, and urban amenities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: São Marcos da Serra Triple: [Silves, hasParish, São Marcos da Serra]
Generated description
São Marcos da Serra is a rural civil parish in the municipality of Silves in Portugal’s Algarve region, known for its hilly landscape and traditional village character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: São Marcos da Serra Target entity description: São Marcos da Serra is a rural civil parish in the municipality of Silves in Portugal’s Algarve region, known for its hilly landscape and traditional village character.
-
A.
Santo Amaro
Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
-
B.
Parnamirim
Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
-
C.
Caucaia
Caucaia is a coastal municipality in northeastern Brazil known for its beaches and proximity to the state capital, Fortaleza.
-
D.
São José do Ribamar
São José do Ribamar is a neighborhood of Recife, Brazil, known as part of the city’s urban coastal area in the state of Pernambuco.
-
E.
Espinheiro
Espinheiro is a central neighborhood in Recife, Brazil, known for its residential areas, commerce, and urban amenities.
- F. None of above. chosen
Provenance (5 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_69ada9a8a69c8190885bf06a06d3869f |
completed | March 8, 2026, 4:54 p.m. |
| NEDg | Description generation | batch_69adaab488ec81909a340aab4916b90f |
completed | March 8, 2026, 4:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaf3cd23081909dd27c5de8e3f6d2 |
completed | March 8, 2026, 5:17 p.m. |
Created at: March 4, 2026, 7:32 p.m.