Triple
T16443541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campidanese Sardinian |
E399366
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object |
Parteolla
Parteolla is a historical and agricultural subregion of southern Sardinia, Italy, known for its vineyards, olive groves, and traditional Campidanese Sardinian culture.
|
E1212982
|
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: Parteolla | Statement: [Campidanese Sardinian, region, Parteolla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parteolla Context triple: [Campidanese Sardinian, region, Parteolla]
-
A.
Partakko
Partakko is a small village in the municipality of Inari in northern Finnish Lapland.
-
B.
Partanna
Partanna is a historic town in western Sicily, Italy, known for its medieval castle, traditional architecture, and olive oil and wine production.
-
C.
Parit
Parit is a small Malaysian town in the state of Perak, known for its riverside setting and traditional local community.
-
D.
Parati Veni
Parati Veni is the Latin motto of the Royal Canadian Army Service Corps, reflecting its readiness and commitment to service.
-
E.
Liotta
Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
- 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: Parteolla Triple: [Campidanese Sardinian, region, Parteolla]
Generated description
Parteolla is a historical and agricultural subregion of southern Sardinia, Italy, known for its vineyards, olive groves, and traditional Campidanese Sardinian culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parteolla Target entity description: Parteolla is a historical and agricultural subregion of southern Sardinia, Italy, known for its vineyards, olive groves, and traditional Campidanese Sardinian culture.
-
A.
Partakko
Partakko is a small village in the municipality of Inari in northern Finnish Lapland.
-
B.
Partanna
Partanna is a historic town in western Sicily, Italy, known for its medieval castle, traditional architecture, and olive oil and wine production.
-
C.
Parit
Parit is a small Malaysian town in the state of Perak, known for its riverside setting and traditional local community.
-
D.
Parati Veni
Parati Veni is the Latin motto of the Royal Canadian Army Service Corps, reflecting its readiness and commitment to service.
-
E.
Liotta
Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cd8d2988190acb5722a15623319 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458f8f3c8190ad5eff2ad2a32dea |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a00461390608190848c3b896042f1fd |
completed | May 10, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0046a88e048190baa78506808171b8 |
completed | May 10, 2026, 8:49 a.m. |
Created at: April 10, 2026, 5:10 a.m.