Triple
T30114365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 FIFA World Cup qualification |
E765371
|
entity |
| Predicate | CAFAllocatedSlots |
P1043
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [1998 FIFA World Cup qualification, CAFAllocatedSlots, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CAFAllocatedSlots Context triple: [1998 FIFA World Cup qualification, CAFAllocatedSlots, 5]
-
A.
allocatesFrom
Indicates that a resource, portion, or share is assigned or taken from a specified source or pool.
-
B.
allocates
chosen
Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
-
C.
allocatedCitiesIn
Indicates that certain cities have been assigned or designated to a particular entity, region, or category within a specified context.
-
D.
arenaUsed
Indicates that a particular arena or venue is utilized or has been employed for a specific event, activity, or purpose.
-
E.
blockAllocationStatus
Indicates the current state or condition of how a block (e.g., of data, memory, or resources) is assigned, reserved, or made available for use.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67dc294488190af7314b78253404e |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:11 p.m.