Triple
T32831531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naumburg Competition prize |
E839700
|
entity |
| Predicate | typicalAgeRangeOfLaureates |
P134328
|
FINISHED |
| Object | 20s to early 30s |
—
|
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: 20s to early 30s | Statement: [Naumburg Competition prize, typicalAgeRangeOfLaureates, 20s to early 30s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAgeRangeOfLaureates Context triple: [Naumburg Competition prize, typicalAgeRangeOfLaureates, 20s to early 30s]
-
A.
typicalAgeRangeOfWinners
chosen
Indicates the usual age range within which the winners of a particular competition, award, or event typically fall.
-
B.
ageAtNobelPrize
Indicates the age a person was when they received a Nobel Prize.
-
C.
typicalNumberOfLaureatesPerYear
Indicates the usual or average number of laureates associated with a given award or context in a single year.
-
D.
typicalNumberOfLaureatesPerCycle
Indicates the usual or average number of laureates associated with each award cycle or iteration.
-
E.
typicalAgeOfWinner
Indicates the age that is most commonly observed for entities that win a particular competition, award, or event.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:16 a.m.