Triple
T10489757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koman |
E247383
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Gule
Gule is a lesser-known language belonging to the Koman group of languages spoken in the border regions of Ethiopia and Sudan.
|
E867112
|
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: Gule | Statement: [Koman, hasMemberLanguage, Gule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gule Context triple: [Koman, hasMemberLanguage, Gule]
-
A.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
B.
Rufaa
Rufaa is a town in Sudan located in Al Jazirah state, known primarily as an agricultural and trading center along the Blue Nile.
-
C.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
D.
Loha
Loha is a 1987 Indian Hindi-language action film featuring Persis Khambatta in a prominent role.
-
E.
Beigem
Beigem is a village in the Flemish Brabant province of Belgium, known as a sub-municipality of Grimbergen.
- 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: Gule Triple: [Koman, hasMemberLanguage, Gule]
Generated description
Gule is a lesser-known language belonging to the Koman group of languages spoken in the border regions of Ethiopia and Sudan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gule Target entity description: Gule is a lesser-known language belonging to the Koman group of languages spoken in the border regions of Ethiopia and Sudan.
-
A.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
B.
Rufaa
Rufaa is a town in Sudan located in Al Jazirah state, known primarily as an agricultural and trading center along the Blue Nile.
-
C.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
D.
Loha
Loha is a 1987 Indian Hindi-language action film featuring Persis Khambatta in a prominent role.
-
E.
Beigem
Beigem is a village in the Flemish Brabant province of Belgium, known as a sub-municipality of Grimbergen.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ca5c081908b47a08ca7885650 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc9792308190b09d6aaed63dd418 |
completed | April 10, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69d8e8c81bdc8190b6b6dfe00025b514 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901e1ecf88190acd24a0e20462cb9 |
completed | April 10, 2026, 1:57 p.m. |
Created at: April 6, 2026, 12:23 p.m.