Triple
T24581629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Videmus |
E608265
|
entity |
| Predicate | roleReflected |
P57555
|
FINISHED |
| Object | reconnaissance |
—
|
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: reconnaissance | Statement: [Videmus, roleReflected, reconnaissance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleReflected Context triple: [Videmus, roleReflected, reconnaissance]
-
A.
reflectsRoleAs
chosen
Indicates that one entity expresses, represents, or makes evident the role, function, or position held by another entity.
-
B.
representedRole
Indicates that one entity serves as a stand-in, proxy, or representative performing a role on behalf of another entity.
-
C.
reflects
Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another entity.
-
D.
role
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
E.
perceivedRole
Indicates the role or function that one entity is regarded or interpreted as having in relation to another, based on perception rather than objective status.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a982db00819081038adce05c0b52 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.