Triple
T10103101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estrela Solitária |
E216249
|
entity |
| Predicate | clubNicknamedEntityType |
P5076
|
FINISHED |
| Object | football club |
—
|
LITERAL 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: football club | Statement: [Estrela Solitária, clubNicknamedEntityType, football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNicknamedEntityType Context triple: [Estrela Solitária, clubNicknamedEntityType, football club]
-
A.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
B.
teamNickname
chosen
Indicates the commonly used informal or symbolic name by which a team is known.
-
C.
hasNicknamedEntityType
Indicates that an entity is associated with another entity type specifically in the role of being its nickname or informal name.
-
D.
clubFullName
Indicates the complete official name of a club as opposed to an abbreviation or short form.
-
E.
alternativeNameOfClub
Indicates that one club is an alternative or secondary name/designation for another club.
- F. None of above.
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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09af07c819099774af46ebf62d7 |
completed | April 2, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9b853c8190a2af993ce9b21309 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:02 p.m.