Triple
T16361128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murça |
E397311
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object |
Norte
Norte is a region in northern Portugal known for its historic cities, rich cultural heritage, and production of Port wine.
|
E1210956
|
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: Norte | Statement: [Murça, region, Norte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norte Context triple: [Murça, region, Norte]
-
A.
Suroeste
Suroeste is a district of Santa Cruz de Tenerife known for its largely residential character and mix of urban and semi-rural areas on the island of Tenerife in Spain’s Canary Islands.
-
B.
Oeste
Oeste is a coastal subregion of central Portugal known for its Atlantic beaches, agricultural production, and historic towns.
-
C.
Юго-Западная
Юго-Западная is a Moscow Metro station on the Sokolnicheskaya Line, serving the southwestern part of the city.
-
D.
Nordeste
Nordeste is a picturesque municipality on the northeastern tip of São Miguel Island in the Azores, known for its dramatic coastal cliffs, lush landscapes, and scenic viewpoints.
-
E.
The North
The North is a vast, harsh, and sparsely populated region in the world of "Game of Thrones"/"A Song of Ice and Fire," known for its cold climate, fiercely independent people, and rule by House Stark from Winterfell.
- 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: Norte Triple: [Murça, region, Norte]
Generated description
Norte is a region in northern Portugal known for its historic cities, rich cultural heritage, and production of Port wine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norte Target entity description: Norte is a region in northern Portugal known for its historic cities, rich cultural heritage, and production of Port wine.
-
A.
Suroeste
Suroeste is a district of Santa Cruz de Tenerife known for its largely residential character and mix of urban and semi-rural areas on the island of Tenerife in Spain’s Canary Islands.
-
B.
Oeste
Oeste is a coastal subregion of central Portugal known for its Atlantic beaches, agricultural production, and historic towns.
-
C.
Юго-Западная
Юго-Западная is a Moscow Metro station on the Sokolnicheskaya Line, serving the southwestern part of the city.
-
D.
Nordeste
Nordeste is a picturesque municipality on the northeastern tip of São Miguel Island in the Azores, known for its dramatic coastal cliffs, lush landscapes, and scenic viewpoints.
-
E.
The North
"The North" is a renowned poem by Chinese poet Ai Qing that reflects his profound engagement with the landscapes, history, and struggles of northern China.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad304448190b3f6f0350a1e151d |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00355df6188190929be8584b5ac87e |
completed | May 10, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a0036e07d2081908db03dcc133f8421 |
completed | May 10, 2026, 7:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00384f51d081909a5ab0630f82d173 |
completed | May 10, 2026, 7:48 a.m. |
Created at: April 10, 2026, 5:08 a.m.