Triple
T6614088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primeira Liga |
E149303
|
entity |
| Predicate | hasClub |
P28155
|
FINISHED |
| Object |
Vizela
Vizela is a Portuguese professional football club that competes in the country's top-tier league system.
|
E601020
|
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: Vizela | Statement: [Primeira Liga, hasClub, Vizela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vizela Context triple: [Primeira Liga, hasClub, Vizela]
-
A.
Baia Mare
Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
-
B.
Tecuci
Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
-
C.
Galați
Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
-
D.
Soroca
Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
-
E.
Chepelare
Chepelare is a small Bulgarian mountain town and ski resort located in the Rhodope Mountains, known for its winter sports facilities and scenic surroundings.
- 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: Vizela Triple: [Primeira Liga, hasClub, Vizela]
Generated description
Vizela is a Portuguese professional football club that competes in the country's top-tier league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vizela Target entity description: Vizela is a Portuguese professional football club that competes in the country's top-tier league system.
-
A.
Baia Mare
Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
-
B.
Tecuci
Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
-
C.
Galați
Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
-
D.
Soroca
Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
-
E.
Chepelare
Chepelare is a small Bulgarian mountain town and ski resort located in the Rhodope Mountains, known for its winter sports facilities and scenic surroundings.
- 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_69c6cbd651c08190a19513645fc781c9 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd89b51c81909ea17d391732630e |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:57 p.m.