Triple
T15140662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Oristano |
E361673
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mogoro
Mogoro is a small town and municipality in central-western Sardinia, Italy, known for its traditional crafts and wine production.
|
E1139549
|
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: Mogoro | Statement: [Province of Oristano, contains, Mogoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mogoro Context triple: [Province of Oristano, contains, Mogoro]
-
A.
Malaba
Malaba is a key border town between Uganda and Kenya that serves as a major transit point for regional trade and transport.
-
B.
Masindi
Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
-
C.
Egoli
Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
-
D.
Mbewuleni
Mbewuleni is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of former South African president Thabo Mbeki.
-
E.
Mogoditshane
Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
- 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: Mogoro Triple: [Province of Oristano, contains, Mogoro]
Generated description
Mogoro is a small town and municipality in central-western Sardinia, Italy, known for its traditional crafts and wine production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mogoro Target entity description: Mogoro is a small town and municipality in central-western Sardinia, Italy, known for its traditional crafts and wine production.
-
A.
Malaba
Malaba is a key border town between Uganda and Kenya that serves as a major transit point for regional trade and transport.
-
B.
Masindi
Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
-
C.
Egoli
Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
-
D.
Mbewuleni
Mbewuleni is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of former South African president Thabo Mbeki.
-
E.
Mogoditshane
Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c46a248190a2364092d40274f3 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfec3ae48190b2d8e853dab00777 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec0c97f4c819084ba9eb2d8f69ceb |
completed | May 9, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec13ccea48190aeb155af012478b8 |
completed | May 9, 2026, 5:08 a.m. |
Created at: April 10, 2026, 3:07 a.m.