Triple
T13227577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladenburg |
E314920
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Garango
Garango is a town in Burkina Faso known for its cultural and municipal ties with the German town of Ladenburg.
|
E1041987
|
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: Garango | Statement: [Ladenburg, hasTwinTown, Garango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garango Context triple: [Ladenburg, hasTwinTown, Garango]
-
A.
Guraru
Guraru is a town in the Indian state of Bihar, known as a local settlement within the Gaya region.
-
B.
Bongwe
Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
-
C.
Ngala
Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
-
D.
Ngala
Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
-
E.
Manyanga
Manyanga was an important historical settlement in present-day Zimbabwe that served as the capital of the Rozvi Empire.
- 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: Garango Triple: [Ladenburg, hasTwinTown, Garango]
Generated description
Garango is a town in Burkina Faso known for its cultural and municipal ties with the German town of Ladenburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garango Target entity description: Garango is a town in Burkina Faso known for its cultural and municipal ties with the German town of Ladenburg.
-
A.
Guraru
Guraru is a town in the Indian state of Bihar, known as a local settlement within the Gaya region.
-
B.
Bongwe
Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
-
C.
Ngala
Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
-
D.
Ngala
Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
-
E.
Manyanga
Manyanga was an important historical settlement in present-day Zimbabwe that served as the capital of the Rozvi Empire.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7460e94a08190a518f466f55db482 |
completed | May 3, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_69f74b9dac6c8190b1fc3ed04fcf6d1f |
completed | May 3, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74c5195188190bad111b301713426 |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 9, 2026, 9:21 p.m.