Triple
T21881642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvega e Concavada |
E540295
|
entity |
| Predicate | formedBy |
P972
|
FINISHED |
| Object |
Alvega
Alvega is a Portuguese village and civil parish located in the municipality of Abrantes, known for its rural character and historical roots along the Tagus River.
|
E1506331
|
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 | Statement: [Alvega e Concavada, formedBy, Alvega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvega Context triple: [Alvega e Concavada, formedBy, Alvega]
-
A.
Avelar
Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
-
B.
Juncal
Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
-
C.
Gachalá
Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
-
D.
Alpuri
Alpuri is a small town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative and commercial hub of Shangla District.
-
E.
Alegranza
Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
- 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 Triple: [Alvega e Concavada, formedBy, Alvega]
Generated description
Alvega is a Portuguese village and civil parish located in the municipality of Abrantes, known for its rural character and historical roots along the Tagus River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alvega Target entity description: Alvega is a Portuguese village and civil parish located in the municipality of Abrantes, known for its rural character and historical roots along the Tagus River.
-
A.
Avelar
Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
-
B.
Juncal
Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
-
C.
Gachalá
Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
-
D.
Alpuri
Alpuri is a small town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative and commercial hub of Shangla District.
-
E.
Alegranza
Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e7a3c48190be1cc285ad4b6496 |
completed | April 28, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a52a5d32881908e71863ea01e2bae |
completed | May 17, 2026, 11:43 p.m. |
| NEDg | Description generation | batch_6a0a5364e5e88190b6556220f0751784 |
completed | May 17, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a544a2ff08190b992a644f32c4d58 |
completed | May 17, 2026, 11:50 p.m. |
Created at: April 16, 2026, 7:04 p.m.