Triple
T7231840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Form I-9 |
E154920
|
entity |
| Predicate | documentList |
P75911
|
FINISHED |
| Object | List A documents |
—
|
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: List A documents | Statement: [Form I-9, documentList, List A documents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentList Context triple: [Form I-9, documentList, List A documents]
-
A.
documentsNow
Indicates that an entity is currently documenting, recording, or writing about another entity at the present time.
-
B.
documentsCommunity
Indicates that an entity records, describes, or provides information about a particular community.
-
C.
documentNumber
Indicates the unique identifying number assigned to a specific document in the relationship.
-
D.
documentForm
Indicates the specific format or structural type in which a document is presented or recorded.
-
E.
documentsPeriod
Indicates that one entity documents, records, or provides written evidence about a specific time period associated with 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6ea539f5c81908001524149903559 |
completed | March 27, 2026, 8:36 p.m. |
Created at: March 27, 2026, 2:54 p.m.