Triple
T5719423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abrantes |
E126104
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Alvega e Concavada
Alvega e Concavada is a civil parish in the municipality of Abrantes, in central Portugal, formed by the merger of the former parishes of Alvega and Concavada.
|
E540295
|
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: Alvega e Concavada | Statement: [Abrantes, hasParish, Alvega e Concavada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvega e Concavada Context triple: [Abrantes, hasParish, Alvega e Concavada]
-
A.
Caleruega
Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
-
B.
Aguadas
Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
-
C.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
-
D.
Requena
Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
-
E.
Cosío
Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
- 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: Alvega e Concavada Triple: [Abrantes, hasParish, Alvega e Concavada]
Generated description
Alvega e Concavada is a civil parish in the municipality of Abrantes, in central Portugal, formed by the merger of the former parishes of Alvega and Concavada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alvega e Concavada Target entity description: Alvega e Concavada is a civil parish in the municipality of Abrantes, in central Portugal, formed by the merger of the former parishes of Alvega and Concavada.
-
A.
Caleruega
Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
-
B.
Aguadas
Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
-
C.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
-
D.
Requena
Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
-
E.
Cosío
Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024e1ec7c8190a08e1b7954db2a9d |
completed | March 22, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a7db0788190b4a5e7b5d9c94588 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05b7c3bd48190ad8303bf1bb3ec6a |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c22c31081909a9a67d99e7c728c |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:46 p.m.