Triple
T87600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSF Proposal and Award Policies and Procedures Guide (PAPPG) |
E1760
|
entity |
| Predicate | includesSection |
P1393
|
FINISHED |
| Object | proposal preparation instructions |
—
|
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: proposal preparation instructions | Statement: [NSF Proposal and Award Policies and Procedures Guide (PAPPG), includesSection, proposal preparation instructions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSection Context triple: [NSF Proposal and Award Policies and Procedures Guide (PAPPG), includesSection, proposal preparation instructions]
-
A.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
B.
section
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
C.
section7Provides
Indicates that Section 7 serves as the source or provider of something (such as rights, obligations, benefits, or content) to another party or element.
-
D.
hasSectionKnownAs
Indicates that an entity includes a section or part that is referred to by a specific name.
-
E.
hasSectionCount
Indicates that an entity is associated with a specific number of sections it contains or comprises.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2503d304c8190a0034ffa4a38a501 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb6da2c8190a33d144d219f7abe |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.