Triple
T17681037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nacional Futebol Clube |
E440768
|
entity |
| Predicate | stadiumNickname |
P9350
|
FINISHED |
| Object |
Colina
Colina is the popular nickname of the home stadium used by the Brazilian football club Nacional Futebol Clube.
|
E1283497
|
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: Colina | Statement: [Nacional Futebol Clube, stadiumNickname, Colina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colina Context triple: [Nacional Futebol Clube, stadiumNickname, Colina]
-
A.
Colina
Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
-
B.
Chivay
Chivay is a small Andean town in southern Peru that serves as the main gateway and service hub for visitors to the Colca Canyon.
-
C.
Chepica
Chepica is a small town and commune in central Chile’s O’Higgins Region, known for its agricultural activity and role within the Colchagua Valley wine area.
-
D.
Huacho
Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
-
E.
Chanco
Chanco is a coastal town and commune in Chile’s Maule Region, known for its agricultural activities and nearby protected natural areas.
- 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: Colina Triple: [Nacional Futebol Clube, stadiumNickname, Colina]
Generated description
Colina is the popular nickname of the home stadium used by the Brazilian football club Nacional Futebol Clube.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colina Target entity description: Colina is the popular nickname of the home stadium used by the Brazilian football club Nacional Futebol Clube.
-
A.
Colina
Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
-
B.
Chivay
Chivay is a small Andean town in southern Peru that serves as the main gateway and service hub for visitors to the Colca Canyon.
-
C.
Chepica
Chepica is a small town and commune in central Chile’s O’Higgins Region, known for its agricultural activity and role within the Colchagua Valley wine area.
-
D.
Huacho
Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
-
E.
Chanco
Chanco is a coastal town and commune in Chile’s Maule Region, known for its agricultural activities and nearby protected natural areas.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e470445b3881908bb0930b986089f7 |
completed | April 19, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0230189290819087d80b8c447bbf08 |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a023111b1e4819088c9c7f499a73c5e |
completed | May 11, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02317519948190a2c3f1edc7c1a163 |
completed | May 11, 2026, 7:43 p.m. |
Created at: April 10, 2026, 10:01 a.m.