Triple
T60539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Department of Elementary and Secondary Education |
E1202
|
entity |
| Predicate | sets |
P4492
|
FINISHED |
| Object | state academic standards for Massachusetts public schools |
—
|
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: state academic standards for Massachusetts public schools | Statement: [Massachusetts Department of Elementary and Secondary Education, sets, state academic standards for Massachusetts public schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sets Context triple: [Massachusetts Department of Elementary and Secondary Education, sets, state academic standards for Massachusetts public schools]
-
A.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
B.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
settled
Indicates that an entity established residence or a stable presence in a place, typically after moving from elsewhere.
-
D.
formedByUnionOf
Indicates that something is created or defined as the union or combination of multiple other things.
-
E.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251a1b8ac8190b44be4c3c41e5681 |
completed | Feb. 28, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69a24ea0bec48190b2af1fb287e9e692 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a251a088f8819083797c2baf310c39 |
completed | Feb. 28, 2026, 2:23 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.