Triple
T36981402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lusophone world |
E914835
|
entity |
| Predicate | hasSharedSportCulture |
P95192
|
FINISHED |
| Object | football |
—
|
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 | Statement: [Lusophone world, hasSharedSportCulture, football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSharedSportCulture Context triple: [Lusophone world, hasSharedSportCulture, football]
-
A.
hasCulturalRelation
Indicates a relationship in which entities are connected through shared, influencing, or interacting cultural practices, values, traditions, or expressions.
-
B.
hasDistinctCultureFrom
Indicates that the culture of one entity is different and distinguishable from the culture of another entity.
-
C.
hasCulturalEquivalent
Indicates that one entity has a counterpart in another cultural context that plays a similar role, function, or meaning.
-
D.
associatedWithStateSportsCulture
Indicates a relationship in which something is connected to, influenced by, or representative of a particular state’s sports traditions, practices, or fan culture.
-
E.
shareSportsCulture
chosen
Indicates that two or more entities participate in or identify with the same sports-related traditions, values, or practices.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:14 p.m.