Triple
T9356171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States national figure skating team |
E225145
|
entity |
| Predicate | ageLevel |
P71516
|
FINISHED |
| Object | senior |
—
|
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: senior | Statement: [United States national figure skating team, ageLevel, senior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageLevel Context triple: [United States national figure skating team, ageLevel, senior]
-
A.
representedAgeLevel
chosen
Indicates that one entity corresponds to, or is categorized under, a particular age level or age group.
-
B.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
C.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
-
D.
developmentLevel
Indicates the degree or stage of progress, advancement, or maturity that something has reached in its growth or evolution.
-
E.
typicalAge
Indicates the usual or characteristic age associated with an entity, event, or condition.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4fee9d4c8190a7d121c9487ccca2 |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.