Triple
T4034827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Child Left Behind Act |
E83802
|
entity |
| Predicate | subgroupCategory |
P53577
|
FINISHED |
| Object | race and ethnicity |
—
|
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: race and ethnicity | Statement: [No Child Left Behind Act, subgroupCategory, race and ethnicity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subgroupCategory Context triple: [No Child Left Behind Act, subgroupCategory, race and ethnicity]
-
A.
notableSubgroup
Indicates that one group forms a particularly significant or noteworthy subset within a larger group.
-
B.
subbranchOf
Indicates that one entity is a subordinate or secondary branch derived from, and structurally dependent on, another entity.
-
C.
subfamily
Indicates that one taxonomic group is a subfamily within a larger family, representing an intermediate rank in biological classification.
-
D.
childGroup
Indicates that one group is a subordinate or contained subgroup (child) of another group (parent) within a hierarchical structure.
-
E.
subunitType
Indicates that one entity is a specific kind or classification of subunit within the structure or composition of another entity.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb11d92481909aaebbc250ff45b9 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa815f2c8190818c9ffd9d1bf478 |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:36 p.m.