Triple
T5263484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DET |
E118882
|
entity |
| Predicate | abbreviationContext |
P62615
|
FINISHED |
| Object | professional ice hockey |
—
|
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: professional ice hockey | Statement: [DET, abbreviationContext, professional ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationContext Context triple: [DET, abbreviationContext, professional ice hockey]
-
A.
abbreviation
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
B.
abbreviationUsedFor
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
-
C.
abbreviationStyle
Indicates the specific way in which something is abbreviated, such as the format, punctuation, or capitalization used in its shortened form.
-
D.
acronymExpansion
Indicates that one term is an acronym whose letters stand for the words in another, longer expression.
-
E.
establishesAbbreviation
Indicates that one entity defines or introduces an abbreviated form that stands for another entity.
- F. None of above. chosen
Provenance (4 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd2eff4819087420e30c140e6f6 |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7bcabe58819096255672664513b1 |
completed | March 20, 2026, 4:54 p.m. |
Created at: March 20, 2026, 1:51 p.m.