Triple
T5707396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FISU |
E125817
|
entity |
| Predicate | hasMainEventType |
P14526
|
FINISHED |
| Object | Multi-sport event |
—
|
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: Multi-sport event | Statement: [FISU, hasMainEventType, Multi-sport event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainEventType Context triple: [FISU, hasMainEventType, Multi-sport event]
-
A.
hasEventType
chosen
Indicates that an event is associated with, or classified under, a specific type or category of event.
-
B.
hasMainPeriod
Indicates that something is associated with or characterized by a primary or most significant time period.
-
C.
mainEventFor
Indicates that one event is the primary or central event associated with another entity, such as a context, grouping, or larger occurrence.
-
D.
hasMajorType
Indicates that an entity belongs to or is categorized under a primary or overarching type or classification.
-
E.
hasMajorCategory
Indicates that something is associated with or classified under a primary, overarching category.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024892fd88190a91133fc88365410 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.