Triple
T302162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romani language |
E6220
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Finnish Kalo
Finnish Kalo is a variety of the Romani language traditionally spoken by the Finnish Roma community in Finland.
|
E38768
|
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: Finnish Kalo | Statement: [Romani language, hasDialect, Finnish Kalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finnish Kalo Context triple: [Romani language, hasDialect, Finnish Kalo]
-
A.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
B.
Kawki
Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
-
C.
Poike
Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
-
D.
Kemi
Kemi is a coastal town in northern Finland known for its port, paper industry, and popular winter attractions like the SnowCastle.
-
E.
Rednitz
The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
- 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: Finnish Kalo Triple: [Romani language, hasDialect, Finnish Kalo]
Generated description
Finnish Kalo is a variety of the Romani language traditionally spoken by the Finnish Roma community in Finland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Finnish Kalo Target entity description: Finnish Kalo is a variety of the Romani language traditionally spoken by the Finnish Roma community in Finland.
-
A.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
B.
Kawki
Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
-
C.
Poike
Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
-
D.
Kemi
Kemi is a coastal town in northern Finland known for its port, paper industry, and popular winter attractions like the SnowCastle.
-
E.
Rednitz
The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3aba2b38c8190b841014b24e14822 |
completed | March 1, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_69a3ac0b64308190956008df6d428a09 |
completed | March 1, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ac5db93c81908b34faab2b1263c6 |
completed | March 1, 2026, 3:02 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.