Triple
T4575615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEC filings |
E123134
|
entity |
| Predicate | includesFormType |
P12776
|
FINISHED |
| Object | Form 10-K |
—
|
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: Form 10-K | Statement: [SEC filings, includesFormType, Form 10-K]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesFormType Context triple: [SEC filings, includesFormType, Form 10-K]
-
A.
containsForm
chosen
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
B.
formsWith
Indicates that one entity combines or associates with another to create or constitute a joint structure, group, or configuration.
-
C.
usesForm
Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
-
D.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
E.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58dfe3508190b21836079e951a3c |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.