Triple
T6699373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Weissmann |
E152837
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Coluna
Coluna is a prominent abstract sculpture by Brazilian artist Franz Weissmann, exemplifying his minimalist, geometric approach to form and space.
|
E611827
|
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: Coluna | Statement: [Franz Weissmann, notableWork, Coluna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coluna Context triple: [Franz Weissmann, notableWork, Coluna]
-
A.
Capileira
Capileira is a picturesque mountain village in Spain’s Alpujarras region, known for its traditional whitewashed houses and dramatic location on the southern slopes of the Sierra Nevada.
-
B.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
C.
Columbio
Columbio is a rural municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and multicultural indigenous communities.
-
D.
Cuello
Cuello is an ancient Maya archaeological site in northern Belize known for its early evidence of settled village life and ceramic production.
-
E.
Atalaya
Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
- 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: Coluna Triple: [Franz Weissmann, notableWork, Coluna]
Generated description
Coluna is a prominent abstract sculpture by Brazilian artist Franz Weissmann, exemplifying his minimalist, geometric approach to form and space.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coluna Target entity description: Coluna is a prominent abstract sculpture by Brazilian artist Franz Weissmann, exemplifying his minimalist, geometric approach to form and space.
-
A.
Capileira
Capileira is a picturesque mountain village in Spain’s Alpujarras region, known for its traditional whitewashed houses and dramatic location on the southern slopes of the Sierra Nevada.
-
B.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
C.
Columbio
Columbio is a rural municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and multicultural indigenous communities.
-
D.
Cuello
Cuello is an ancient Maya archaeological site in northern Belize known for its early evidence of settled village life and ceramic production.
-
E.
Atalaya
Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a7355081908a0acfa8d2bb4c09 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bfcb048190b682f4ec7e404b3e |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8955748819092b0e51cff6cab69 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f9441d74819098f0639a29fdeb5e |
completed | March 27, 2026, 9:40 p.m. |
Created at: March 27, 2026, 2:05 p.m.