Triple
T11702968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Argentines |
E278170
|
entity |
| Predicate | hasCommunityIn |
P17132
|
FINISHED |
| Object |
Colonia Tirolesa
Colonia Tirolesa is a town in Argentina notable for its significant community of German Argentine descendants and associated cultural heritage.
|
E941762
|
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: Colonia Tirolesa | Statement: [German Argentines, hasCommunityIn, Colonia Tirolesa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colonia Tirolesa Context triple: [German Argentines, hasCommunityIn, Colonia Tirolesa]
-
A.
Colonia Federal
Colonia Federal is a residential neighborhood in Mexico City known for its distinctive radial street layout resembling a spiderweb.
-
B.
Colonia
Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
-
C.
Colonia
Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
-
D.
Colonia Suiza
Colonia Suiza is a historic town in Uruguay founded by Swiss immigrants, known for its European-style architecture, dairy production, and cultural festivals.
-
E.
Colonia Maza
Colonia Maza is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
- 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: Colonia Tirolesa Triple: [German Argentines, hasCommunityIn, Colonia Tirolesa]
Generated description
Colonia Tirolesa is a town in Argentina notable for its significant community of German Argentine descendants and associated cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colonia Tirolesa Target entity description: Colonia Tirolesa is a town in Argentina notable for its significant community of German Argentine descendants and associated cultural heritage.
-
A.
Colonia Federal
Colonia Federal is a residential neighborhood in Mexico City known for its distinctive radial street layout resembling a spiderweb.
-
B.
Colonia
Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
-
C.
Colonia
Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
-
D.
Colonia Suiza
Colonia Suiza is a historic town in Uruguay founded by Swiss immigrants, known for its European-style architecture, dairy production, and cultural festivals.
-
E.
Colonia Maza
Colonia Maza is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83525ae081909ee6f3fbb5d37dd7 |
completed | April 27, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69ef9b673120819097b542bb9a8f8bdb |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd683366881909dd9621e7c57d0be |
completed | April 27, 2026, 9:34 p.m. |
Created at: April 8, 2026, 9:40 p.m.