Triple
T16804027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putnam Competition |
E408431
|
entity |
| Predicate | pointsPerProblem |
P124700
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Putnam Competition, pointsPerProblem, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsPerProblem Context triple: [Putnam Competition, pointsPerProblem, 10]
-
A.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
-
B.
numberOfProblemata
Indicates the quantity or count of distinct problems or issues associated with an entity.
-
C.
problemTypeSolved
Indicates that a given problem has been successfully solved or resolved by a particular entity or method.
-
D.
pointsEarnedFrom
Indicates the number of points that an entity has received as a result of another specified source, action, or event.
-
E.
problemType
Indicates the specific category or classification of a problem within a defined problem space or system.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ca46f88190b56e81d75012496c |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e319d0fdb8819088425bd82431640f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326bac94481908c082117553320f8 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:22 a.m.