Triple
T32595880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nina Prinz |
E833204
|
entity |
| Predicate | wrestledInRegion |
P174634
|
FINISHED |
| Object | Europe |
—
|
NE NERFINISHED |
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: Europe | Statement: [Nina Prinz, wrestledInRegion, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wrestledInRegion Context triple: [Nina Prinz, wrestledInRegion, Europe]
-
A.
notableTournamentRegion
Indicates that a tournament is notably associated with, recognized in, or significant within a particular geographic region.
-
B.
clubRegion
Indicates that a club is located in, associated with, or belongs to a particular geographic region.
-
C.
participantsRegion
Indicates that the related entities are associated with, originate from, or operate within a specified geographic region.
-
D.
rivalryRegion
Indicates a competitive or adversarial relationship that exists between entities within a specific geographic or regional context.
-
E.
championRegion
Indicates the region or area in which an entity holds a championship title or status.
- 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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c69517848190b9453af9db72a1e0 |
completed | May 3, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2c138481908afa3ee3e91f8900 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c2df27ec8190912ec8eb488836d0 |
completed | May 3, 2026, 3:37 a.m. |
Created at: May 1, 2026, 1:05 a.m.