Triple
T8966855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Risaralda Department |
E214157
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Marsella
Marsella is a small Colombian town known for its traditional architecture and coffee-growing culture in the Andean region.
|
E770606
|
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: Marsella | Statement: [Risaralda Department, contains, Marsella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marsella Context triple: [Risaralda Department, contains, Marsella]
-
A.
Bononia
Bononia is the ancient Roman name for the city of Bologna in northern Italy, an important urban and commercial center in the Emilia-Romagna region.
-
B.
Bononia
Bononia was an important Roman fortress and settlement along the Danube frontier in the province of Dacia Ripensis.
-
C.
La Marsa
La Marsa is a coastal suburb of Tunis in northern Tunisia, known for its beaches, upscale residential areas, and historic seaside charm.
-
D.
Provenza
"Provenza" is a hit reggaeton song by Colombian singer Karol G known for its tropical sound and themes of empowerment and romantic liberation.
-
E.
Rivoli
Rivoli is a town in the Piedmont region of northern Italy, near Turin, known for its historic castle and strategic location.
- 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: Marsella Triple: [Risaralda Department, contains, Marsella]
Generated description
Marsella is a small Colombian town known for its traditional architecture and coffee-growing culture in the Andean region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marsella Target entity description: Marsella is a small Colombian town known for its traditional architecture and coffee-growing culture in the Andean region.
-
A.
Bononia
Bononia is the ancient Roman name for the city of Bologna in northern Italy, an important urban and commercial center in the Emilia-Romagna region.
-
B.
Bononia
Bononia was an important Roman fortress and settlement along the Danube frontier in the province of Dacia Ripensis.
-
C.
La Marsa
La Marsa is a coastal suburb of Tunis in northern Tunisia, known for its beaches, upscale residential areas, and historic seaside charm.
-
D.
Provenza
"Provenza" is a hit reggaeton song by Colombian singer Karol G known for its tropical sound and themes of empowerment and romantic liberation.
-
E.
Rivoli
Rivoli is a town in the Piedmont region of northern Italy, near Turin, known for its historic castle and strategic location.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc676389948190aa78fdf6a5ae74a5 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0a753f8819084b952f20997c8d6 |
completed | April 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69cfd17e5850819087fbb60fdc612fd9 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd215204c8190886cc071f100aab6 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:01 p.m.