Triple
T6708735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbaresco |
E153074
|
entity |
| Predicate | principalCommunes |
P51099
|
FINISHED |
| Object |
Treiso
Treiso is a small village in Italy’s Piedmont region renowned for its production of high-quality Barbaresco wines from Nebbiolo grapes.
|
E613768
|
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: Treiso | Statement: [Barbaresco, principalCommunes, Treiso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treiso Context triple: [Barbaresco, principalCommunes, Treiso]
-
A.
Palme
Palme is a Swedish surname most famously associated with Olof Palme, the former Prime Minister of Sweden and prominent Social Democratic politician.
-
B.
Bois d’Orange
Bois d’Orange is a citrus-inspired fragrance line by Roger & Gallet known for its fresh, orange-blossom and woody notes.
-
C.
Castanheira de Pera
Castanheira de Pera is a small municipality in central Portugal, known for its mountainous landscapes and river beaches.
-
D.
Plumeret
Plumeret was an architect known for designing the iconic Parisian music hall Folies Bergère.
-
E.
Cerasus
Cerasus was an ancient Greek city on the Black Sea coast in the region of Pontus, known historically as a colonial settlement and trading port.
- 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: Treiso Triple: [Barbaresco, principalCommunes, Treiso]
Generated description
Treiso is a small village in Italy’s Piedmont region renowned for its production of high-quality Barbaresco wines from Nebbiolo grapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Treiso Target entity description: Treiso is a small village in Italy’s Piedmont region renowned for its production of high-quality Barbaresco wines from Nebbiolo grapes.
-
A.
Palme
Palme is a Swedish surname most famously associated with Olof Palme, the former Prime Minister of Sweden and prominent Social Democratic politician.
-
B.
Bois d’Orange
Bois d’Orange is a citrus-inspired fragrance line by Roger & Gallet known for its fresh, orange-blossom and woody notes.
-
C.
Castanheira de Pera
Castanheira de Pera is a small municipality in central Portugal, known for its mountainous landscapes and river beaches.
-
D.
Plumeret
Plumeret was an architect known for designing the iconic Parisian music hall Folies Bergère.
-
E.
Cerasus
Cerasus was an ancient Greek city on the Black Sea coast in the region of Pontus, known historically as a colonial settlement and trading port.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7c94bac8190ae4b236d1b04bec9 |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7008e6b308190a3d5db2bf4a469c4 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c701be78cc8190a0848ea60908d129 |
completed | March 27, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7021b27288190866aef500198479d |
completed | March 27, 2026, 10:18 p.m. |
Created at: March 27, 2026, 2:06 p.m.