Triple
T23892162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hengshui Middle School |
E600796
|
entity |
| Predicate | mainAssessment |
P51624
|
FINISHED |
| Object | standardized tests |
—
|
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: standardized tests | Statement: [Hengshui Middle School, mainAssessment, standardized tests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAssessment Context triple: [Hengshui Middle School, mainAssessment, standardized tests]
-
A.
assessment
Indicates an evaluation or judgment made about an entity’s quality, performance, or characteristics.
-
B.
assessmentBasis
chosen
Indicates the underlying criteria, evidence, or method used as the foundation for making an assessment or evaluation between entities.
-
C.
assessmentEmphasis
Indicates the particular aspect, component, or criterion of a subject that an assessment is primarily focused on or gives greatest weight to.
-
D.
assessmentMethod
Indicates the method or procedure used to evaluate, measure, or judge something.
-
E.
requiresAssessmentOf
Indicates that one entity necessitates an evaluation, review, or judgment to be performed on another entity before proceeding or fulfilling a condition.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cd044708819091102ecc160e1961 |
completed | April 29, 2026, 9:19 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.