Triple
T16417988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of South Sardinia |
E398737
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Ussassai
Ussassai is a small rural municipality in Sardinia, Italy, known for its mountainous landscape and traditional Sardinian culture.
|
E1211172
|
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: Ussassai | Statement: [Province of South Sardinia, containsAdministrativeTerritorialEntity, Ussassai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ussassai Context triple: [Province of South Sardinia, containsAdministrativeTerritorialEntity, Ussassai]
-
A.
Rascia
Rascia is a historical region in the central Balkans that formed the medieval core of the Serbian state.
-
B.
Urusemal
Urusemal is a surname most notably associated with Joseph J. Urusemal, a politician from the Federated States of Micronesia who served as its president.
-
C.
Yussois
Yussois is the French demonym for inhabitants of the town of Yutz in northeastern France.
-
D.
Oruzgan
Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
-
E.
Ussat
Ussat is a small commune in the Ariège department of southwestern France, located in the Pyrenees and known for its proximity to notable caves and thermal springs.
- 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: Ussassai Triple: [Province of South Sardinia, containsAdministrativeTerritorialEntity, Ussassai]
Generated description
Ussassai is a small rural municipality in Sardinia, Italy, known for its mountainous landscape and traditional Sardinian culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ussassai Target entity description: Ussassai is a small rural municipality in Sardinia, Italy, known for its mountainous landscape and traditional Sardinian culture.
-
A.
Rascia
Rascia is a historical region in the central Balkans that formed the medieval core of the Serbian state.
-
B.
Urusemal
Urusemal is a surname most notably associated with Joseph J. Urusemal, a politician from the Federated States of Micronesia who served as its president.
-
C.
Yussois
Yussois is the French demonym for inhabitants of the town of Yutz in northeastern France.
-
D.
Oruzgan
Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
-
E.
Ussat
Ussat is a small commune in the Ariège department of southwestern France, located in the Pyrenees and known for its proximity to notable caves and thermal springs.
- 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_6a003eb888e481908eb4ed77f86cf9f3 |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.