Triple
T15606798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantanhede |
E375178
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Cordinhã
Cordinhã is a civil parish located in the municipality of Cantanhede in the Coimbra District of central Portugal.
|
E1177691
|
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: Cordinhã | Statement: [Cantanhede, hasParish, Cordinhã]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cordinhã Context triple: [Cantanhede, hasParish, Cordinhã]
-
A.
Ribeira Brava
Ribeira Brava is the main town and administrative center of the island of São Nicolau in Cape Verde, known for its coastal setting and colonial-era architecture.
-
B.
Eixão
Eixão is a major central highway in Brasília, Brazil, known for its wide, high-speed lanes that run the length of the city’s main axis.
-
C.
Sertã
Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
-
D.
Serpa
Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
-
E.
Vinhais
Vinhais is a rural municipality in northeastern Portugal known for its traditional smoked meats, natural landscapes, and proximity to the Montesinho Natural Park.
- 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: Cordinhã Triple: [Cantanhede, hasParish, Cordinhã]
Generated description
Cordinhã is a civil parish located in the municipality of Cantanhede in the Coimbra District of central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cordinhã Target entity description: Cordinhã is a civil parish located in the municipality of Cantanhede in the Coimbra District of central Portugal.
-
A.
Ribeira Brava
Ribeira Brava is the main town and administrative center of the island of São Nicolau in Cape Verde, known for its coastal setting and colonial-era architecture.
-
B.
Eixão
Eixão is a major central highway in Brasília, Brazil, known for its wide, high-speed lanes that run the length of the city’s main axis.
-
C.
Sertã
Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
-
D.
Serpa
Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
-
E.
Vinhais
Vinhais is a rural municipality in northeastern Portugal known for its traditional smoked meats, natural landscapes, and proximity to the Montesinho Natural Park.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7ec08c8190b3842cf3043aea27 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff908b1d6c819086441305b55f81fb |
completed | May 9, 2026, 7:52 p.m. |
| NEDg | Description generation | batch_69ff92b08cac8190b654f4182c0fa7b4 |
completed | May 9, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff935e5d3881908215b6f45b7b6bf5 |
completed | May 9, 2026, 8:04 p.m. |
Created at: April 10, 2026, 4:13 a.m.