Triple
T655260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabrosa |
E11633
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Gouvinhas
Gouvinhas is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
|
E82027
|
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: Gouvinhas | Statement: [Sabrosa, hasParish, Gouvinhas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gouvinhas Context triple: [Sabrosa, hasParish, Gouvinhas]
-
A.
Vivarais
Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
-
B.
Alupka
Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
-
C.
Svans
Svans are a distinct subethnic group of Georgians known for their unique Svan language, highland culture, and traditional communities in the Svaneti region of the Caucasus.
-
D.
Shenwa
Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
-
E.
Beba
Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
- 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: Gouvinhas Triple: [Sabrosa, hasParish, Gouvinhas]
Generated description
Gouvinhas is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gouvinhas Target entity description: Gouvinhas is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
-
A.
Vivarais
Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
-
B.
Alupka
Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
-
C.
Svans
Svans are a distinct subethnic group of Georgians known for their unique Svan language, highland culture, and traditional communities in the Svaneti region of the Caucasus.
-
D.
Shenwa
Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
-
E.
Beba
Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4d57688190a9515ac494a97b22 |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a591486b708190b0191e958c6c8851 |
completed | March 2, 2026, 1:31 p.m. |
| NEDg | Description generation | batch_69a592095c7881909c7bdeb5ac5a2cdd |
completed | March 2, 2026, 1:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a595bf289c8190971799c6942f29e3 |
completed | March 2, 2026, 1:50 p.m. |
Created at: March 1, 2026, 7:36 p.m.