Triple
T16417958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of South Sardinia |
E398737
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Gonnesa
Gonnesa is a coastal town and municipality in southwestern Sardinia, Italy, known for its mining history and nearby beaches.
|
E1211788
|
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: Gonnesa | Statement: [Province of South Sardinia, containsAdministrativeTerritorialEntity, Gonnesa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gonnesa Context triple: [Province of South Sardinia, containsAdministrativeTerritorialEntity, Gonnesa]
-
A.
Gavisse
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
-
B.
Ernée
Ernée is a small commune in northwestern France, located in the Mayenne department in the Pays de la Loire region.
-
C.
Artouste
Artouste is a small ski resort in the French Pyrenees known for its scenic slopes overlooking the Ossau Valley and its historic mountain railway.
-
D.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
E.
Marcané
Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
- 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: Gonnesa Triple: [Province of South Sardinia, containsAdministrativeTerritorialEntity, Gonnesa]
Generated description
Gonnesa is a coastal town and municipality in southwestern Sardinia, Italy, known for its mining history and nearby beaches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gonnesa Target entity description: Gonnesa is a coastal town and municipality in southwestern Sardinia, Italy, known for its mining history and nearby beaches.
-
A.
Gavisse
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
-
B.
Ernée
Ernée is a small commune in northwestern France, located in the Mayenne department in the Pays de la Loire region.
-
C.
Artouste
Artouste is a small ski resort in the French Pyrenees known for its scenic slopes overlooking the Ossau Valley and its historic mountain railway.
-
D.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
E.
Marcané
Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328798a488190a5fad01c3c95584c |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6ca1bc8190a6c4f675ec8e3a53 |
completed | May 10, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a003e3b113c819083e1abc512631e2b |
completed | May 10, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003eb6aa748190b0c8866af405794a |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.