Triple
T33393844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Army firearms |
E855119
|
entity |
| Predicate | includesStandardIssue |
P13409
|
FINISHED |
| Object | M4 carbine |
E182727
|
NE 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: M4 carbine | Statement: [U.S. Army firearms, includesStandardIssue, M4 carbine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesStandardIssue Context triple: [U.S. Army firearms, includesStandardIssue, M4 carbine]
-
A.
standardIssueFor
chosen
Indicates that something is the typical or officially designated item or version provided for use in a particular context, role, or organization.
-
B.
issueIncludes
Indicates that an issue or problem encompasses, contains, or involves a specified element, component, or sub-issue as part of its scope.
-
C.
containsIssue
Indicates that one entity includes, encompasses, or has within it a particular issue, problem, or defect.
-
D.
standardIssueFrom
Indicates that one entity is the official or default item provided or distributed by another entity as part of a standard set, kit, or issue.
-
E.
includesStandard
Indicates that one entity contains, incorporates, or makes use of a particular standard as part of its definition, implementation, or specification.
- F. None of above.
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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a03142a3a7081909bcfb683b44e2217 |
completed | May 12, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3576f1b91881908ff563d9c69e150b |
completed | June 19, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_6a031400af808190a72abf095e96c151 |
completed | May 12, 2026, 11:50 a.m. |
Created at: May 1, 2026, 1:35 a.m.