Triple
T10103118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federação de Futebol do Estado do Rio de Janeiro |
E216250
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
FERJ
FERJ is the governing body responsible for organizing and regulating professional and amateur football competitions in the Brazilian state of Rio de Janeiro.
|
E840606
|
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: FERJ | Statement: [Federação de Futebol do Estado do Rio de Janeiro, shortName, FERJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FERJ Context triple: [Federação de Futebol do Estado do Rio de Janeiro, shortName, FERJ]
-
A.
FIKEM
FIKEM is the UN/LOCODE identifier for the Port of Kemi in Finland, used in international shipping and logistics.
-
B.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
C.
Ferizli
Ferizli is a town and district located in Sakarya Province in the Marmara Region of northwestern Turkey.
-
D.
Fener
Fener is a historic neighborhood in Istanbul, Turkey, known for its Greek Orthodox heritage and landmarks such as the Ecumenical Patriarchate and traditional Ottoman-era houses.
-
E.
Fikret
Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
- 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: FERJ Triple: [Federação de Futebol do Estado do Rio de Janeiro, shortName, FERJ]
Generated description
FERJ is the governing body responsible for organizing and regulating professional and amateur football competitions in the Brazilian state of Rio de Janeiro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FERJ Target entity description: FERJ is the governing body responsible for organizing and regulating professional and amateur football competitions in the Brazilian state of Rio de Janeiro.
-
A.
FIKEM
FIKEM is the UN/LOCODE identifier for the Port of Kemi in Finland, used in international shipping and logistics.
-
B.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
C.
Ferizli
Ferizli is a town and district located in Sakarya Province in the Marmara Region of northwestern Turkey.
-
D.
Fener
Fener is a historic neighborhood in Istanbul, Turkey, known for its Greek Orthodox heritage and landmarks such as the Ecumenical Patriarchate and traditional Ottoman-era houses.
-
E.
Fikret
Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09af07c819099774af46ebf62d7 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6dcca848190851f6f1968fe244c |
completed | April 5, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_69d2b7e64fcc8190805a6a31c8a3786f |
completed | April 5, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b883959481909f330a26863621ae |
completed | April 5, 2026, 7:31 p.m. |
Created at: March 30, 2026, 9:02 p.m.