Triple
T6614086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primeira Liga |
E149303
|
entity |
| Predicate | hasClub |
P28155
|
FINISHED |
| Object |
Farense
Farense is a Portuguese professional football club based in Faro, best known for competing in the country’s top-tier league system.
|
E606367
|
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: Farense | Statement: [Primeira Liga, hasClub, Farense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farense Context triple: [Primeira Liga, hasClub, Farense]
-
A.
Vila Nova de Famalicão
Vila Nova de Famalicão is a municipality in northern Portugal known for its strong industrial base, particularly in textiles and manufacturing.
-
B.
Tondela
Tondela is a municipality and city in central Portugal known for its historical heritage and proximity to the Caramulo mountain range.
-
C.
Arouca
Arouca is a town in Trinidad and Tobago’s Northern Range region, known as a residential community with access to major transport routes and nearby natural attractions.
-
D.
Póvoa de Varzim
Póvoa de Varzim is a coastal city in northern Portugal known for its fishing heritage, beaches, and historic role as a seaside resort.
-
E.
Braga
Braga is a historic city in northern Portugal known for its rich religious heritage, baroque architecture, and status as a regional cultural and educational center.
- 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: Farense Triple: [Primeira Liga, hasClub, Farense]
Generated description
Farense is a Portuguese professional football club based in Faro, best known for competing in the country’s top-tier league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farense Target entity description: Farense is a Portuguese professional football club based in Faro, best known for competing in the country’s top-tier league system.
-
A.
Vila Nova de Famalicão
Vila Nova de Famalicão is a municipality in northern Portugal known for its strong industrial base, particularly in textiles and manufacturing.
-
B.
Tondela
Tondela is a municipality and city in central Portugal known for its historical heritage and proximity to the Caramulo mountain range.
-
C.
Arouca
Arouca is a town in Trinidad and Tobago’s Northern Range region, known as a residential community with access to major transport routes and nearby natural attractions.
-
D.
Póvoa de Varzim
Póvoa de Varzim is a coastal city in northern Portugal known for its fishing heritage, beaches, and historic role as a seaside resort.
-
E.
Braga
Braga is a historic city in northern Portugal known for its rich religious heritage, baroque architecture, and status as a regional cultural and educational center.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af569ecc8190a9526decc745f0a0 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e443df8c8190b52ecac5a7e9fb09 |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e4c724dc819080f21cf0d1421500 |
completed | March 27, 2026, 8:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e583b1388190a57dce649567ef98 |
completed | March 27, 2026, 8:16 p.m. |
Created at: March 27, 2026, 1:57 p.m.