Triple
T24107718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Lourenço da Mata |
E597271
|
entity |
| Predicate | hasSportRelation |
P33119
|
FINISHED |
| Object | association with Arena Pernambuco stadium |
—
|
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: association with Arena Pernambuco stadium | Statement: [São Lourenço da Mata, hasSportRelation, association with Arena Pernambuco stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportRelation Context triple: [São Lourenço da Mata, hasSportRelation, association with Arena Pernambuco stadium]
-
A.
hasRelativeInSport
Indicates that one entity has a family member who participates or is involved in a sport-related activity or profession.
-
B.
relationshipTypeWithSport
chosen
Indicates the specific type or nature of the relationship an entity has with a particular sport (e.g., participation, affiliation, or role).
-
C.
hasSportsRole
Indicates that an entity holds or is assigned a specific role or position within a sports context or organization.
-
D.
hasPartnerInSport
Indicates that one entity has another entity as a partner with whom they jointly participate in a sport or sporting activity.
-
E.
hasAthlete
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
- 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de17e650819085ae522e00aa82f3 |
completed | April 29, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:02 p.m.