Triple
T14724879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rwanda-Rundi |
E345912
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Vinza
Vinza is a locality associated with the Rwanda-Rundi–speaking region of East Africa, likely a village or small community within that cultural-linguistic area.
|
E1127030
|
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: Vinza | Statement: [Rwanda-Rundi, hasPart, Vinza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinza Context triple: [Rwanda-Rundi, hasPart, Vinza]
-
A.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
B.
Valdieri
Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
-
C.
Tarvisio
Tarvisio is a northeastern Italian town in Friuli Venezia Giulia, known as a mountain resort and transport hub near the borders with Austria and Slovenia in the Julian Alps.
-
D.
Chiampo
Chiampo is a town and comune in the Veneto region of northern Italy, known historically for its marble and leather industries.
-
E.
Carassai
Carassai is a small historic hill town in Italy’s Marche region, known for its medieval architecture and scenic countryside setting.
- 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: Vinza Triple: [Rwanda-Rundi, hasPart, Vinza]
Generated description
Vinza is a locality associated with the Rwanda-Rundi–speaking region of East Africa, likely a village or small community within that cultural-linguistic area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vinza Target entity description: Vinza is a locality associated with the Rwanda-Rundi–speaking region of East Africa, likely a village or small community within that cultural-linguistic area.
-
A.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
B.
Valdieri
Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
-
C.
Tarvisio
Tarvisio is a northeastern Italian town in Friuli Venezia Giulia, known as a mountain resort and transport hub near the borders with Austria and Slovenia in the Julian Alps.
-
D.
Chiampo
Chiampo is a town and comune in the Veneto region of northern Italy, known historically for its marble and leather industries.
-
E.
Carassai
Carassai is a small historic hill town in Italy’s Marche region, known for its medieval architecture and scenic countryside setting.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a181708190816c391f6a5d06f0 |
completed | May 8, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69fe773c861c81908ed25104c52336f1 |
completed | May 8, 2026, 11:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe77907f50819098ad0d1b5d7050ef |
completed | May 8, 2026, 11:53 p.m. |
Created at: April 10, 2026, 1:29 a.m.