Triple
T15028868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedrógão Grande |
E378287
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Vila Facaia
Vila Facaia is a civil parish located in the municipality of Pedrógão Grande in central Portugal.
|
E1133959
|
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: Vila Facaia | Statement: [Pedrógão Grande, hasParish, Vila Facaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vila Facaia Context triple: [Pedrógão Grande, hasParish, Vila Facaia]
-
A.
Vila Baleira
Vila Baleira is the main urban center and administrative hub of Porto Santo Island in Portugal’s Madeira archipelago, known for its proximity to long sandy beaches and historical ties to Christopher Columbus.
-
B.
Vila Flor
Vila Flor is a municipality in northern Portugal, situated in the Douro region known for its wine production and scenic landscapes.
-
C.
Vila Prudente
Vila Prudente is a metro station in São Paulo, Brazil, serving as a key terminal and transfer point on the city’s rapid transit network.
-
D.
Vila Belmiro
Vila Belmiro is the historic home stadium of Santos FC in Santos, Brazil, renowned as one of the most traditional football grounds in the country.
-
E.
Vila do Porto
Vila do Porto is the main town and oldest settlement in the Azores, located on Santa Maria Island in Portugal.
- 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: Vila Facaia Triple: [Pedrógão Grande, hasParish, Vila Facaia]
Generated description
Vila Facaia is a civil parish located in the municipality of Pedrógão Grande in central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vila Facaia Target entity description: Vila Facaia is a civil parish located in the municipality of Pedrógão Grande in central Portugal.
-
A.
Vila Baleira
Vila Baleira is the main urban center and administrative hub of Porto Santo Island in Portugal’s Madeira archipelago, known for its proximity to long sandy beaches and historical ties to Christopher Columbus.
-
B.
Vila Flor
Vila Flor is a municipality in northern Portugal, situated in the Douro region known for its wine production and scenic landscapes.
-
C.
Vila Prudente
Vila Prudente is a metro station in São Paulo, Brazil, serving as a key terminal and transfer point on the city’s rapid transit network.
-
D.
Vila Belmiro
Vila Belmiro is the historic home stadium of Santos FC in Santos, Brazil, renowned as one of the most traditional football grounds in the country.
-
E.
Vila do Porto
Vila do Porto is the main town and oldest settlement in the Azores, located on Santa Maria Island in Portugal.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9e5dbbe0819084567688758b0245 |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9eedca1481908ce438991184d62e |
completed | May 9, 2026, 2:41 a.m. |
Created at: April 10, 2026, 2:58 a.m.