Triple
T16656552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VII Olympic Winter Games |
E404745
|
entity |
| Predicate | NOCCount |
P42152
|
FINISHED |
| Object | 32 |
—
|
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: 32 | Statement: [VII Olympic Winter Games, NOCCount, 32]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NOCCount Context triple: [VII Olympic Winter Games, NOCCount, 32]
-
A.
numberOfCounts
chosen
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
B.
NOC
Indicates a relationship where one entity is not permitted, not compatible, or otherwise not allowed to occur or coexist with another entity.
-
C.
registerCount
Indicates the number of registers associated with or allocated to a given entity in a system.
-
D.
NOCCode
Indicates the standardized occupational classification code assigned to a job or role within the National Occupational Classification system.
-
E.
areCountedBy
Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfb2b308190bf3559df9fbb126f |
completed | April 18, 2026, 12:41 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.