Triple
T6614087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primeira Liga |
E149303
|
entity |
| Predicate | hasClub |
P28155
|
FINISHED |
| Object | Chaves |
E190017
|
NE FINISHED |
How this triple was built (2 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: Chaves | Statement: [Primeira Liga, hasClub, Chaves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaves Context triple: [Primeira Liga, hasClub, Chaves]
-
A.
Chaves
chosen
Chaves is a Portuguese and Spanish surname and place name, most famously associated with the Brazilian title of the TV comedy series "El Chavo del Ocho."
-
B.
Ourinhos
Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
-
C.
Loiceño
Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
-
D.
Pacheco
Pacheco is a Spanish surname borne by various notable figures in fields such as politics, arts, and sports.
-
E.
Envigado
Envigado is a city in northwestern Colombia that forms part of the Medellín metropolitan area and is known for its residential character and quality of life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 27, 2026, 1:57 p.m.