Triple
T8407151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastián Abreu |
E198527
|
entity |
| Predicate | playedForClub |
P2168
|
FINISHED |
| Object |
Rio Branco-ES
Rio Branco-ES is a Brazilian football club based in the state of Espírito Santo, known for competing in regional and lower-division national competitions.
|
E731349
|
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: Rio Branco-ES | Statement: [Sebastián Abreu, playedForClub, Rio Branco-ES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Branco-ES Context triple: [Sebastián Abreu, playedForClub, Rio Branco-ES]
-
A.
Domingos Martins
Domingos Martins is a municipality in the Brazilian state of Espírito Santo known for its strong German cultural heritage, reflected in its architecture, festivals, and local traditions.
-
B.
Morrinhos
Morrinhos is a municipality in the Brazilian state of Goiás, known for its agricultural economy and regional thermal springs.
-
C.
Macaé
Macaé is a coastal city in southeastern Brazil known for its offshore oil industry and role as a major hub for petroleum exploration.
-
D.
Betim
Betim is an industrial city in southeastern Brazil known for its major automotive and petrochemical complexes.
-
E.
Parnamirim
Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
- 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: Rio Branco-ES Triple: [Sebastián Abreu, playedForClub, Rio Branco-ES]
Generated description
Rio Branco-ES is a Brazilian football club based in the state of Espírito Santo, known for competing in regional and lower-division national competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rio Branco-ES Target entity description: Rio Branco-ES is a Brazilian football club based in the state of Espírito Santo, known for competing in regional and lower-division national competitions.
-
A.
Domingos Martins
Domingos Martins is a municipality in the Brazilian state of Espírito Santo known for its strong German cultural heritage, reflected in its architecture, festivals, and local traditions.
-
B.
Morrinhos
Morrinhos is a municipality in the Brazilian state of Goiás, known for its agricultural economy and regional thermal springs.
-
C.
Macaé
Macaé is a coastal city in southeastern Brazil known for its offshore oil industry and role as a major hub for petroleum exploration.
-
D.
Betim
Betim is an industrial city in southeastern Brazil known for its major automotive and petrochemical complexes.
-
E.
Parnamirim
Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb831409308190981089c303ebaef4 |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce03035e148190867b60ddaeb8d761 |
completed | April 2, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_69ce07808098819087e896b87320aefd |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce08759e1c81909c96caf3b571e1ca |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:05 p.m.