Triple
T13436024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genoese dialect |
E320230
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Zeneize
Zeneize is the traditional Ligurian language variety spoken in and around the Italian city of Genoa.
|
E1041694
|
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: Zeneize | Statement: [Genoese dialect, hasAlternativeName, Zeneize]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeneize Context triple: [Genoese dialect, hasAlternativeName, Zeneize]
-
A.
Ninzam
Ninzam is a Plateau language of central Nigeria, spoken by a small ethnic community and known for its place within the Benue–Congo branch of the Niger-Congo language family.
-
B.
Tunechi
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
-
C.
Zuiker
Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
-
D.
Takkaze
Takkaze is a river in northern Ethiopia that flows through deep gorges before joining the Atbarah River, ultimately contributing to the Nile basin.
-
E.
Zeen
Zeen was a web-based publishing tool that allowed users to easily create and share digital magazines and visual stories online.
- 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: Zeneize Triple: [Genoese dialect, hasAlternativeName, Zeneize]
Generated description
Zeneize is the traditional Ligurian language variety spoken in and around the Italian city of Genoa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zeneize Target entity description: Zeneize is the traditional Ligurian language variety spoken in and around the Italian city of Genoa.
-
A.
Ninzam
Ninzam is a Plateau language of central Nigeria, spoken by a small ethnic community and known for its place within the Benue–Congo branch of the Niger-Congo language family.
-
B.
Tunechi
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
-
C.
Zuiker
Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
-
D.
Takkaze
Takkaze is a river in northern Ethiopia that flows through deep gorges before joining the Atbarah River, ultimately contributing to the Nile basin.
-
E.
Zeen
Zeen was a web-based publishing tool that allowed users to easily create and share digital magazines and visual stories online.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee42a8c8190a85716b4a6db335e |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739902d148190ac14ac66f1f9512f |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73d6051e48190a39e8de98bfb839a |
completed | May 3, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7411fbb9481908f0106b01f2583bf |
completed | May 3, 2026, 12:35 p.m. |
Created at: April 9, 2026, 9:40 p.m.