Triple
T12966075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Critical Analysis and Reasoning Skills |
E321265
|
entity |
| Predicate | medianScore |
P27175
|
FINISHED |
| Object | 125 |
—
|
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: 125 | Statement: [Critical Analysis and Reasoning Skills, medianScore, 125]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medianScore Context triple: [Critical Analysis and Reasoning Skills, medianScore, 125]
-
A.
medianEquals
chosen
Indicates that the median value of a given set or sequence is equal to a specified value.
-
B.
medianType
Indicates the type or form of a median used in a given context, such as in statistics, geometry, or transportation.
-
C.
medianSection
Indicates that one entity is a median or central segment derived from or associated with another entity, typically representing its middle section.
-
D.
MetascoreBasedOn
Indicates that a metascore is calculated or derived based on a specified set of reviews, ratings, or sources.
-
E.
coScoredWith
Indicates that two or more entities received the same score or were evaluated with an identical scoring outcome in a shared context.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:28 p.m.