Triple
T8457754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bragança |
E199961
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Castro de Avelãs
Castro de Avelãs is a civil parish in the municipality of Bragança in northeastern Portugal, known for its historical and rural character.
|
E735216
|
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: Castro de Avelãs | Statement: [Bragança, hasParish, Castro de Avelãs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castro de Avelãs Context triple: [Bragança, hasParish, Castro de Avelãs]
-
A.
Castro Verde
Castro Verde is a rural municipality in Portugal’s Alentejo region, known for its rolling plains, cereal farming, and important birdlife habitats.
-
B.
Castro Marim
Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
-
C.
Castillejos
Castillejos is a municipality in the province of Zambales in the Philippines, known for its agricultural communities and proximity to the Subic Bay area.
-
D.
Castillo
Castillo is a notable mountain peak in Colombia’s Sierra Nevada del Cocuy range, known for its high elevation and glaciated Andean landscapes.
-
E.
Castillo
Castillo is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
- 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: Castro de Avelãs Triple: [Bragança, hasParish, Castro de Avelãs]
Generated description
Castro de Avelãs is a civil parish in the municipality of Bragança in northeastern Portugal, known for its historical and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Castro de Avelãs Target entity description: Castro de Avelãs is a civil parish in the municipality of Bragança in northeastern Portugal, known for its historical and rural character.
-
A.
Castro Verde
Castro Verde is a rural municipality in Portugal’s Alentejo region, known for its rolling plains, cereal farming, and important birdlife habitats.
-
B.
Castro Marim
Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
-
C.
Castillejos
Castillejos is a municipality in the province of Zambales in the Philippines, known for its agricultural communities and proximity to the Subic Bay area.
-
D.
Castillo
Castillo is a notable mountain peak in Colombia’s Sierra Nevada del Cocuy range, known for its high elevation and glaciated Andean landscapes.
-
E.
Castillo
Castillo is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49064f881909391d565b97e9886 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dea01c481909496ebfca4e9916e |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce20130e9c81908c13e571ca8a6ad4 |
completed | April 2, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce209338b48190ba8375200a5529bd |
completed | April 2, 2026, 7:53 a.m. |
Created at: March 30, 2026, 6:10 p.m.